Coders At Work PDF
Peter Seibel
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Coders At Work
Insights from Legendary Programmers on Mastering
the Craft of Coding
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About the book
In "Coders at Work," Peter Seibel offers an engaging
collection of interviews with 16 of today's most fascinating
computer programmers, complementing the acclaimed
"Founders at Work" by Jessica Livingston. Through in-depth
conversations, Seibel explores the daily practices and
philosophies that shape these experts' programming careers,
uncovering their paths to success, how they identify talent in
others, and the challenges that captivate them. Featured
interviewees include pioneering figures such as Frances Allen,
Joe Armstrong, and Donald Knuth, each providing unique
insights into their creative processes and problem-solving
techniques. This book is an essential read for programmers
eager to learn from industry leaders and discover diverse
strategies that have propelled some of the field's brightest
minds.
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About the author
Peter Seibel is a prominent software engineer, author, and
speaker known for his insightful contributions to the field of
programming and computer science. With a background in
various programming languages and a rich history of working
on diverse software projects, Seibel has cultivated a reputation
for bridging the gap between technical expertise and the art of
software development. His notable works, including "Coders
at Work," reflect his passion for understanding the thought
processes and experiences of influential programmers,
providing readers with a window into the minds of some of the
most accomplished figures in tech. Through his engaging
writing style and keen observations, Seibel has made
significant strides in demystifying the coding profession and
inspiring the next generation of programmers.
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Summary Content List
Chapter 1 : Jamie Zawinski
Chapter 2 : Brad Fitzpatrick
Chapter 3 : Douglas Crockford
Chapter 4 : Brendan Eich
Chapter 5 : Joshua Bloch
Chapter 6 : Joe Armstrong
Chapter 7 : Simon Peyton Jones
Chapter 8 : Peter Norvig
Chapter 9 : Guy Steele
Chapter 10 : Dan Ingalls
Chapter 11 : L Peter Deutsch
Chapter 12 : Ken Thompson
Chapter 13 : Fran Allen
Chapter 14 : Bernie Cosell
Chapter 15 : Donald Knuth
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Chapter 16 : Appendix A: Bibliography
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Chapter 1 Summary : Jamie Zawinski
Section
Summary
Background
Jamie Zawinski, a prominent hacker and Netscape developer, started programming in a Carnegie
Mellon AI lab, focusing on Lisp, and contributed to significant projects like Lucid Emacs.
Career Progression
He joined Netscape in 1994, helped develop the Netscape browser, launched mozilla.org, and left in
1999 to manage a nightclub due to disillusionment with the slow progress at Mozilla.
Programming
Philosophy
Zawinski prefers ANSI C over C++, focusing on efficient, stable, and accessible software creation
rather than bloated code.
Learning and
Exposure
His programming knowledge stemmed from self-study and reading, without formal education,
emphasizing hands-on experience and curiosity.
Work Ethic and
Collaboration
He values collaboration in small teams and the importance of shipping quality products without
causing burnout.
Debugging and
Development
Practices
Zawinski favors efficient debugging through print statements over formal tools and stresses the
importance of thorough code comments and maintainability.
Reflections on
Change in
Programming
He notes significant changes in programming, highlighting the decline of exploration and tinkering
due to technology's complexity.
Advice for Aspiring
Programmers
Zawinski encourages curiosity and hands-on learning, recommending understanding existing code as
modern programming builds upon others' work.
Conclusion
His career exemplifies technical skill and creativity, offering valuable insights on programming,
collaboration, and the evolution of software development.
Jamie Zawinski: A Journey through Programming
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Background
- Jamie Zawinski, also known as jwz, is a renowned hacker
and early developer for Netscape.
- His programming journey began in a Carnegie Mellon AI
lab at a young age, where he hacked on Lisp.
- After briefly attending college, Zawinski spent nearly a
decade immersed in Lisp and AI, leading significant projects
including Lucid Emacs, later known as XEmacs.
Career Progression
- Zawinski transitioned from Lucid to Netscape in 1994,
contributing to the development of the Netscape browser and
later its mail reader.
- He was instrumental in the launch of mozilla.org, which
opened up the Netscape browser as open-source.
- By 1999, feeling disillusioned with the slow progress at
Mozilla, he left to manage a nightclub in San Francisco, the
DNA Lounge.
Programming Philosophy
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- Zawinski expresses a disdain for C++ and regards it as an
inefficient language that leads to bloated code.
- He prefers ANSI C due to its compatibility with smaller
machines and more stable compilers.
- His programming style emphasizes the joy of creating
software that is widely used and accessible to many.
Learning and Exposure
- Zawinski learned programming through extensive reading
and self-study, starting with BASIC on a TRS-80 and
progressing to advanced concepts like Lisp through science
fiction interests and peer collaboration.
- He acknowledged a lack of formal education but
highlighted the importance of hands-on experience and
curiosity in programming.
Work Ethic and Collaboration
- Zawinski values collaboration among small teams that can
communicate effectively, which fosters a productive
environment.
- He shared insights about high-pressure work environments,
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emphasizing the importance of shipping quality products
quickly without burning out the team.
Debugging and Development Practices
- He shares his preferred debugging techniques, transitioning
from more formal tools to a focus on print statements in later
trading for efficiency.
- The importance of comments and maintainability in code is
stressed, highlighting the need for thorough documentation
and clear variable naming.
Reflections on Change in Programming
- Zawinski acknowledges that the landscape of programming
has dramatically changed, with a need for new programmers
to be adept at navigating complex codebases and libraries.
- He laments the decline of tinkering and exploration in
programming due to fewer user-serviceable parts in
technology today.
Advice for Aspiring Programmers
- Zawinski advises that curiosity and a hands-on approach are
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key traits for learning programming.
- He emphasizes the value of understanding existing code
and libraries, as modern programming often involves
building upon others' work rather than starting from scratch.
Conclusion
- Jamie Zawinski's career reflects a blend of technical skill,
creativity, and a commitment to making technology more
accessible. His insights provide a unique perspective on
programming, collaboration, and the evolving nature of
software development.
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Example
Key Point:Hands-On Learning and Curiosity
Example:Imagine you're diving into coding for the first
time, curious about how software works. You start
tinkering with your favorite video game, dissecting its
mechanics through trial and error. Each small success,
like modifying a character's skill level, sparks a deeper
curiosity to explore programming languages like Python
or JavaScript. As you delve into online tutorials and
forums, you begin to understand not just the syntax but
the logic behind coding. This hands-on approach, fueled
by your inquiries and explorations, mirrors Jamie
Zawinski’s journey, emphasizing that the most profound
learning paths emerge from digging into existing codes
and collaborating with others.
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Critical Thinking
Key Point:The importance of curiosity and hands-on
experience in programming.
Critical Interpretation:Zawinski's perspective on the
necessity of curiosity and practical involvement in
programming suggests that formal education may not be
the only path to success in tech. While many successful
programmers, including Zawinski himself, focus on
self-driven learning and real-world applications, critics
may argue that structured education can provide
foundational knowledge and prepare individuals for
complex programming challenges. This alternative
viewpoint is supported by research such as "The Role of
Education in Programming Competency" by N. B.
Hurst, which highlights how formal training can
significantly enhance problem-solving skills in
programming.
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Chapter 2 Summary : Brad Fitzpatrick
Section
Summary
Early Life and
Programming
Journey
Brad Fitzpatrick, born in 1980, began programming at five on an Apple II clone, started creating
websites in high school, and worked on LiveJournal, focusing on scalable web applications and network
programming using Perl and C.
Learning and
Influences
Fitzpatrick learned programming from his electrical engineer father and transitioned from BASIC to C
at ten, engaging in graphics and game projects with peers.
Educational
Experience
Though he attended a programming class in high school, self-study was key, and he found some
computer science courses unengaging but useful for providing terminology and structure.
Professional
Development
Internships at Intel and Tektronix enhanced his web programming skills; co-founded Danga Interactive,
created LiveJournal and open-source projects like memcached, emphasizing documentation and code
quality.
Lessons on Scaling
and Infrastructure
LiveJournal evolved from a basic environment to a robust infrastructure; Fitzpatrick highlighted the
need for early scalability planning and developed tools like memcached for performance improvements.
Collaboration and
Management
Faced challenges in managing a growing team and learned that different programmers require tailored
management styles; he supported collaborative coding and shared responsibility for code quality.
Approach to
Problem-Solving
and Debugging
Stressed a scientific approach to programming, focusing on systematic testing and root cause analysis,
preferring print statements and debugging tools for problem isolation.
Thoughts on
Programming
Philosophy
Valued programming for fun and curiosity, and emphasized the importance of understanding the entire
stack for better performance and design appreciation.
Future and
Continued
Learning
Fitzpatrick is confident in his adaptability and involvement in the community, focusing on learning and
maintaining a balance between skill development and practical application.
Recommendation
for Aspiring
Programmers
Encourages self-taught programmers to embrace continuous learning, explore existing code, and view
programming as a lifelong journey of curiosity and collaboration.
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Summary of Chapter 2: Brad Fitzpatrick
Early Life and Programming Journey
- Brad Fitzpatrick, born in 1980, started programming at age
five on a home-built Apple II clone and was immersed in the
Internet during his teenage years.
- Developed his first commercial website while in high
school and began working on LiveJournal, which shaped his
programming skills in creating scalable web applications.
- His early programming experiences were heavily focused
on network-related tasks, using languages like Perl and C.
Learning and Influences
- Learned programming from his father, who was an
electrical engineer, and recalled reading programming
manuals alongside children's books.
- Gained experience with BASIC and later transitioned to
learning C at the age of 10.
- Significant early projects included drawing graphics and
creating games, often programming alongside peers.
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Educational Experience
- Attended a computer programming class in high school but
primarily learned through self-study and early programming
projects.
- Fitzpatrick found most early CS classes unengaging, but he
developed a strong foundation through practical coding
during high school and college.
- Graduated in 2002, finding formal education valuable for
providing terminology and structure, but sometimes
frustrating due to lack of real-world application in
coursework.
Professional Development
- Gained internship experience at Intel and Tektronix, where
he further developed web programming skills.
- Co-founded Danga Interactive, which led to the creation of
LiveJournal and several significant open source projects,
including memcached.
- Emphasized the importance of documentation and proper
programming style, advocating for maintaining code quality
and readability among teams.
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Lessons on Scaling and Infrastructure
- Detailed the evolution of LiveJournal from a basic shared
Unix environment to a robust infrastructure capable of
handling significant traffic.
- Discussed the importance of planning for scalability early
in development, ensuring that systems are designed for
growth from the outset.
- Developed infrastructure tools like memcached and Perlbal
in response to LiveJournal's performance needs.
Collaboration and Management
- Experienced the challenges of managing a growing team
while scaling LiveJournal; learned that different
programmers require different styles of management.
- Advocated for collaborative approaches in coding,
emphasizing the value of communication and shared
responsibility for code quality.
Approach to Problem-Solving and Debugging
- Fitzpatrick stressed the significance of a scientific approach
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to programming, believing in systematic testing and
understanding root causes of issues.
- Preferred using print statements and debugging tools to
isolate problems rather than relying on a single method like
GDB, which he finds less intuitive.
Thoughts on Programming Philosophy
- Believes in the value of programming for fun and personal
projects, arguing that genuine curiosity drives true learning.
- Embraces the need for programmers to understand their
entire stack, from high-level applications to low-level
operations, to appreciate performance and design.
Future and Continued Learning
- Fitzpatrick expressed no concern about aging in the field,
conveying confidence in his adaptability and skill
development.
- Continues to engage with the programming community
through open-source projects, recognizing the importance of
learning from others and maintaining a balance between
developing new skills and practical application.
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Recommendation for Aspiring Programmers
- Encourages self-taught programmers to step outside their
comfort zones, read existing code, and embrace continuous
learning to improve their craft.
- Conveys the message that programming is a lifelong
journey, fostering curiosity and collaboration as foundational
principles for success.
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Example
Key Point:Embrace lifelong learning and
collaboration in your programming journey.
Example:Imagine you’re sitting at your desk,
surrounded by your favorite programming books and
project notes. Each day, you dive into unfamiliar coding
challenges, learning new languages and frameworks that
stretch your skills and knowledge, just like Brad did in
his early days. You engage online with fellow
developers, collaborate on open-source projects, and
share your insights. This continuous quest for
knowledge not only hones your technical abilities but
also builds a community around you. You learn to
appreciate diverse coding styles and approaches,
realizing that every interaction enhances your
understanding. You find joy in debugging complex
issues and brainstorming solutions with your peers,
reinforcing the idea that programming is not just a job,
but a fulfilling lifelong journey driven by curiosity and
collaboration.
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Chapter 3 Summary : Douglas
Crockford
Section
Summary
Background and
Early Career
Douglas Crockford, a JavaScript architect at Yahoo!, began programming in the early 1970s and has
worked with media-focused companies like Atari and Lucasfilm, emphasizing simplification in his
work.
Contributions to
Data Exchange and
JavaScript
He invented JSON for data interchange and wrote "JavaScript: The Good Parts," recommending a
simpler version of JavaScript. He criticized the complex ES4 proposal in favor of simpler versions like
ES3.1 and ES5.
Code Reading and
Complexity
Management
Crockford stresses the importance of code reading sessions for improving code quality and team
collaboration, making them essential to the project rather than an afterthought.
Philosophy on
Programming
Languages
He advocates for programming languages to evolve toward simplicity, highlighting the need to
manage complexity and improve human communication in code, similar to writing.
Refactoring and
Software
Management
Crockford urges regular refactoring to maintain code quality and warns against the second-system
effect, advocating for incremental improvements and historical lessons in programming.
Future of
Programming
He foresees programming evolving to allow developers to combine code components like LEGO,
stressing the importance of communication skills in programming.
Advice for
Programmers
Crockford advises self-taught programmers to read widely, while Computer Science students should
focus on communication and collaboration, blending diverse experiences without rigidly following old
methods.
Conclusion
Crockford remains a significant figure in JavaScript, advocating for thoughtful evolution in
programming practices and emphasizing better standards and communication.
Douglas Crockford: A Programming Pioneer
Background and Early Career
Douglas Crockford, a senior JavaScript architect at Yahoo!,
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started programming in the early 1970s after a chance
encounter with a Fortran course at San Francisco State
University. He worked across various domains, including
Atari and Lucasfilm, blending computers with media. His
approach has always been focused on simplification and
tidiness.
Contributions to Data Exchange and JavaScript
Crockford is the inventor of JSON, a simpler alternative to
XML for data interchange in Ajax applications. He authored
"JavaScript: The Good Parts," advocating for a subset of
JavaScript that avoids complex features while showing that
the language is quite pleasant when used correctly. He has
been a vocal critic of the ECMAScript 4 (ES4) proposal due
to its complexity and instead supported the simpler ES3.1,
which evolved into ES5.
Code Reading and Complexity Management
Crockford emphasized code reading as a critical practice for
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facilitate better understanding and collaboration within
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Chapter 4 Summary : Brendan Eich
Section
Summary
Introduction
Brendan Eich discusses his background, the development of JavaScript, and programming
languages' evolution.
Early Career
Started as a physics major, transitioned to computer science, favoring programming.
First Programs
Began by creating game knockoffs and parser generators, exploring low-level programming
techniques.
JavaScript's Creation
Invented JavaScript under time constraints, aiming for a balance of Java-like syntax and
dynamic language features.
Programming Influences
JavaScript design influenced by languages like Self and Perl, focusing on simplicity and
abstraction.
Evolution of JavaScript
Discussed ECMAScript standards struggles and the importance of evolving JavaScript.
Static Analysis and Language
Design
Emphasizes the need for better static analysis and hybrid type systems in JavaScript.
Programming as Craft
Views programming as a mix of theory and practice, advocating for languages that prevent
mistakes.
Hiring and Talent
Recognition
Focuses on recognizing talent based on passion and problem-solving abilities rather than
academic achievements.
Personal Reflections
Enjoys programming despite challenges with C++ and debugging, values community
engagement.
Conclusion
Eich emphasizes continuous learning and adaptation in programming amidst a changing tech
landscape.
Chapter 4 Summary: Brendan Eich
Introduction
Brendan Eich, the creator of JavaScript and CTO of Mozilla
Corporation, discusses his background, the development of
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JavaScript, and the evolution of programming languages.
Early Career
Eich started as a physics major at Santa Clara University,
where he began programming using DEC systems. He
transitioned to computer science, favoring programming over
physics, which he found less satisfying.
First Programs
His initial programming involved creating game knockoffs
and parser generators. He explored various low-level
programming techniques, which provided him insights into
the intricacies of programming languages.
JavaScript's Creation
Under time constraints at Netscape, Eich invented JavaScript.
He aimed to balance Java-like syntax with a dynamic,
functional language. His work involved significant
compromises, influenced by the need to make JavaScript
accessible and popular among developers.
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Programming Influences
Eich's design of JavaScript drew from several languages,
including Self and Perl, emphasizing the need for simplicity
and effective abstraction. He acknowledged influences from
both positive (Smalltalk) and negative (Java) perspectives.
Evolution of JavaScript
The discussion also covers the struggles and debates around
ECMAScript standards, particularly the abandoned ES4 and
collaborative attempts to develop ES Harmony. Eich stresses
the importance of evolving JavaScript to address practical
programming challenges.
Static Analysis and Language Design
Eich highlights the need for better static analysis in
programming, advocating for hybrid type systems in
JavaScript to enhance safety and prevent common
programming errors.
Programming as Craft
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He reflects on programming as a blend of theory and
practical application, valuing hands-on experience over
theoretical learning alone. Eich believes that languages
should evolve to prevent programmers from making mistakes
while being flexible enough for innovative solutions.
Hiring and Talent Recognition
Eich shares insights into his hiring practices, focusing on
recognizing potential talent based on their passion and ability
to tackle real problems rather than solely on academic
achievements or hour-long coding puzzles.
Personal Reflections
Eich expresses his ongoing enjoyment of programming,
though he mentions the challenges posed by C++ and the
complexities of debugging. He emphasizes the importance of
community engagement and the satisfaction derived from
contributing to the broader programming ecosystem.
Conclusion
Brendan Eich's insights reveal a deep commitment to
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evolving programming languages and fostering a practical
understanding of programming as both an art and a science.
He advocates for continuous learning and adaptation in the
rapidly changing tech landscape.
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Example
Key Point:The need for programming languages to
evolve continuously for practical challenges.
Example:Imagine you're a software developer working
on a cutting-edge web application. You start feeling
frustrated as you hit a wall with your programming
language; it just doesn't allow you to express new ideas
effectively. Then you remember the words of Brendan
Eich, who emphasizes that programming languages
must evolve to address real-world issues. Inspired, you
dive into discussions with your team about the need for
improved static analysis tools and hybrid type systems
that could enhance the safety of your code. This
realization sparks a collaboration where your team
collectively advocates for language features that balance
complexity with flexibility, allowing you to innovate
without the fear of common errors. Through this
journey, you not only understand Eich’s point—you live
it. You see firsthand how essential it is for languages to
adapt, ensuring they empower you to tackle emerging
challenges, and you embrace programming as both a
craft and a collaborative journey.
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Chapter 5 Summary : Joshua Bloch
Overview of Joshua Bloch
Joshua Bloch is currently the Chief Java Architect at Google,
after a distinguished career at Sun Microsystems where he
was instrumental in the design of the Java Collections
Framework. He holds a BS from Columbia University and a
PhD from Carnegie-Mellon University, where he worked on
distributed transaction systems. Bloch has authored several
influential programming books, including "Effective Java,"
and remains a strong advocate for Java, particularly in the
face of new concurrency paradigms.
Early Influences and Programming Journey
Bloch was introduced to programming in the early 1970s,
developing an interest sparked by his father’s programming
course. His initial experiences with BASIC on mainframes
led to significant projects, including a self-learning version of
the "Twenty Questions" game. Bloch emphasizes readability
and quality in design and programming, which he has
maintained throughout his career, although he admits that
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data structures and functional programming had a more
pronounced impact on his growth when compared to
object-oriented programming.
Programming Philosophy and Development Process
Bloch believes that programming is fundamentally about API
design and stresses the importance of understanding user
needs for successful software development. He advocates for
requirements analysis as critical to the design process and
emphasizes developing use cases early on to ensure that the
right problems are addressed.
His development methodology involves creating simple but
effective APIs before the implementation phase, iterating on
feedback from coding against those APIs. Bloch prioritizes
simplicity and maintainability in code, as well as using
assertions to enforce invariants within code.
Complexity in Java and API Design
Despite acknowledging that Java has grown increasingly
complex over time, particularly with the introduction of
generics in Java 5, Bloch remains committed to the
language's robustness. He suggests that simplifications might
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have been more effective if generics had been introduced
with a more mature understanding of their implications.
Collaboration and Team Dynamics
Bloch values collaboration in programming and often
engages in "buddy programming"—working closely with
peers on different aspects of a project. He recognizes that
successful software development benefits from collective
knowledge and feedback, particularly when navigating
complex design decisions.
Future of Programming and Tools
Looking toward the future, Bloch expresses an interest in
exploring new programming languages while remaining
committed to improving his existing skill set. He
acknowledges the importance of modern tools in increasing
productivity, especially in handling large-scale codebases
and refactoring initiatives.
He highlights that while the landscape of programming has
shifted towards more high-level abstractions, there is still
significant demand for deeper, low-level programming skills
in areas like concurrency and system design.
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Conclusion: The Craft of Programming
Bloch insists that programming is not solely an intellectual
discipline but one that also requires empathy, communication
skills, and a focus on solving real problems for real people.
He believes that a successful engineer balances technical
ability with these interpersonal skills to craft maintainable
and effective software systems. Despite the challenges, Bloch
finds programming to be a rewarding and enjoyable pursuit,
indicative of a fortunate career path in a rapidly evolving
field.
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Chapter 6 Summary : Joe Armstrong
Summary of Chapter 6: Joe Armstrong
Introduction to Joe Armstrong
Joe Armstrong is renowned for creating the programming
language Erlang and developing the Open Telecom Platform
(OTP). Erlang, designed for creating highly reliable software,
has unique characteristics that make it well-suited for
concurrent programming, especially as multicore computing
becomes prevalent.
Early Life and Education
Joe originally studied physics, switching to computer science
while pursuing a PhD. He learned programming in school on
an IBM mainframe, developing skills in debugging and
simplifying complex code. His early programming
experiences involved using Fortran and working at research
institutions where he developed his programming
capabilities.
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Career Path
Armstrong's career transitioned from physics to computer
science at Donald Michie’s artificial intelligence lab in
Edinburgh. Here, he interacted with pioneering AI concepts
and robotics, which set the stage for his unique approach to
programming. Armstrong's work at Ericsson led to the
invention of Erlang, birthed out of necessity for better
telecom software solutions.
Programming Philosophy
Armstrong reflects on the evolution of programming,
emphasizing the importance of simplicity and clarity in code.
He advocates for opening up "black boxes," which promotes
deeper understanding and better results. He stresses the need
for reusable software components and discusses the
challenges of software reuse in a world dominated by
complex programming environments.
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Chapter 7 Summary : Simon Peyton
Jones
Chapter 7 Summary: Simon Peyton Jones
Background
Simon Peyton Jones, a Principal Researcher at Microsoft
Research's lab in Cambridge, is a key contributor to the
Haskell programming language and the Glasgow Haskell
Compiler (GHC). He has a blend of practical and theoretical
knowledge in programming, having experienced
programming without permanent storage on early computers,
which ignited his interest in functional programming.
Early Programming Experience
Peyton Jones's journey into programming began in school
when he learned to program on primitive machines. With no
formal teaching in computing, he explored programming out
of interest, eventually discovering Algol on a larger machine
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in technical college. His programming experiences involved
intricate planning to fit programs into limited memory.
Academic Journey
Peyton Jones attended Cambridge University, where he
studied mathematics and electrical sciences. He engaged in
programming hobbies, including building computers and
writing compilers while simultaneously doing coursework.
With no formal computer science degree offered at that time,
he completed a postgraduate diploma in computer science.
Professional Path
After a brief stint in industry, where he developed software
for process control, he became a lecturer at University
College London. His lack of a PhD led to opportunities for
research, under the mentorship of senior academics.
Eventually, he was appointed as a professor at the University
of Glasgow, where he helped further develop Haskell.
Contributions to Functional Programming
Throughout his career, Peyton Jones has emphasized the
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relationship between programming and programming
language research. He discussed the importance of
experiments to gauge productivity differences between
programming paradigms but noted that such studies are often
politically challenging. He sees functional programming as a
radical approach to programming that evolves continuously
and has the potential to integrate into mainstream practices.
Programming Philosophy
Peyton Jones values the beauty of code, aiming for
transparency and elegance rather than complexity. He
believes robust, maintainable software structures can arise
from a functional programming perspective. His work
emphasizes the significance of design, abstraction, invariants,
and thorough documentation in programming.
Thoughts on Modern Programming Practices
In discussing concurrency, Peyton Jones advocates for
Software Transactional Memory (STM) over traditional
locking mechanisms, highlighting its ease of use and
expressiveness. He recognizes the challenges of balancing
over- and under-generalization in software design while
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targeting simplicity and maintainability.
General Reflections
Peyton Jones expresses the enduring excitement he finds in
programming, stating that it maintains its allure when
approached with a desire for excellence and beauty in design.
His blend of academic experience, practical insight, and a
commitment to functional programming shapes his unique
perspective on programming as both a craft and a scientific
pursuit.
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Chapter 8 Summary : Peter Norvig
Peter Norvig: A Broad Thinker and Hacker
Peter Norvig is recognized as a visionary and hacker at heart.
Notably, he created a program that identified a sequence of
searches in Google logs that formed a haiku. His website
showcases his work including various publications, talks, and
coding projects. He has contributed to both academic
computer science and industrial practice, serving as the
Director of Research at Google and previously working at
NASA.
Early Life and Programming Beginnings
Norvig began programming in high school using a PDP-8,
taking classes in BASIC. He recalls his early experience
questioning an ineffective algorithm taught by a teacher,
which underscored his aptitude for programming and critical
thinking.
Academic Background and Career Path
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Initially, Norvig majored in applied mathematics rather than
computer science, feeling the curriculum was restrictive.
After two years in software development, he returned to
academia for graduate studies. His experience spans various
industry roles where he has balanced the hacker and engineer
approaches to software development.
Reflection on Industrial Programming Skills
Norvig emphasizes the importance of soft skills such as
teamwork and customer interaction in industrial settings,
contrasting it with academia's individualistic approach. He
believes in the necessity of social skills for successful
collaboration.
Software Development: Design and Testing
Approaches
In discussing programming methodologies, Norvig criticizes
overly rigid design processes, advocating for flexibility and
the use of documentation to communicate system designs.
He highlights the value of both unit tests and more complex
regression tests to ensure software reliability.
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Teamwork and Code Reviews
Norvig maintains that effective collaboration is critical,
emphasizing the importance of code reviews and technical
discussions. He offers insights on hiring practices, focusing
on understanding a candidate's thinking process and coding
ability during interviews.
The Future of Computer Science Education
Norvig believes in the necessity of adapting computer
science curricula to current industry needs, incorporating
teamwork and practical applications of programming. He
discusses the balance of teaching formal structures while
recognizing the evolving landscape of programming
languages and practices.
Embracing Change and Learning in Programming
Reflecting on the changing dynamics of programming,
Norvig notes the increasing importance of understanding
how different pieces of software fit together rather than
writing everything from scratch. He advocates for continuous
learning and staying adaptable in a rapidly evolving field.
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Conclusion: The Impact of Programming
Norvig concludes that understanding programming principles
is essential for informed citizenship in a technology-driven
world. He expresses optimism about the potential to change
the world through software and technology, emphasizing the
significant impact of the work done at Google to enhance
user experiences and services.
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Chapter 9 Summary : Guy Steele
Summary of Chapter 9: Guy Steele
Introduction to Guy Steele
Guy Steele is a renowned programming polyglot with a
diverse history in various programming languages, including
Lisp dialects, Java, and Fortress. His academic background
includes degrees from Harvard and MIT, and he has
contributed to the formation of standards for multiple
programming languages.
Early Programming Journey
Steele's programming journey began in elementary school,
fueled by a fascination with science and math. His first
significant encounter with programming was through
discovering an IBM 1130 computer during high school,
leading him to self-learn Fortran over a long weekend. His
experiences expanded through participation in MIT's High
School Studies Program, where he interacted with
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contemporary computers such as the IBM 1130 and DEC
PDP-10.
First Interesting Programs
Steele's initial projects included writing assembly language
programs, like a keyword-in-context index generator for IBM
documents. This sparked his interest in more complex
programming challenges and computational efficiency.
Higher Education and Early Career
Despite applying to both MIT and Harvard, a nudge from his
headmaster pushed him toward Harvard. While there, Steele
worked at MIT, contributing to the Macsyma project and
honing his skills in Lisp programming. His experiences with
mentorship from professors and working alongside fellow
students proved influential in his career.
Perception of Programming and Software Design
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Reflecting
the evolution
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changes in the complexity and
scale of systems, suggesting
that modern programmers face environments that are
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Chapter 10 Summary : Dan Ingalls
Chapter Summary: Dan Ingalls
Background and Contributions
Dan Ingalls is often described as a key figure in the
development of Smalltalk, having implemented several
versions from the first prototype to modern implementations
like Squeak. Originally trained as a physicist, Ingalls
transitioned to programming with languages like Fortran and
later became a pivotal member of Xerox PARC, contributing
significantly to the field, particularly in user interface
innovations.
Development Journey
Ingalls’ programming journey began at Harvard, where he
first encountered Fortran. His early work included
developing a profiler for Fortran programs, which he later
adapted to COBOL. This path eventually led him to PARC,
where he collaborated with Alan Kay on the Smalltalk
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project, inventing crucial operations like BitBlt for graphics.
Interactive Programming Environments
Engaging conversation in the chapter reflects Ingalls' belief
in the value of interactive programming environments. He
argues that such systems enhance learning and creativity,
emphasizing the need for immediate feedback in
programming tasks.
The Importance of Flexibility
Ingalls discusses the advantages of creating flexible and
dynamic systems rather than rigid ones. He highlights how
this facilitates easier adjustments and innovations in
programming practices.
Lively Kernel and Modern Work
Currently, Ingalls is involved with the Lively Kernel, a
modern programming environment that runs entirely in the
browser using JavaScript. He continues to explore the
application of Smalltalk’s principles in this new context,
emphasizing engaging and interactive user experiences.
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Reflective Approach to Programming
Throughout the discussion, Ingalls shares insights into his
programming philosophy. He advocates for an exploratory
approach where developers can more rapidly prototype and
test their ideas rather than adhering strictly to predefined
designs.
Collaboration and Team Dynamics
Reflecting on his experiences, Ingalls emphasizes the
importance of clear goals and vision in group collaborations.
He discusses how effective leadership involves balancing
transparency and providing a space for team members to
contribute creatively.
Personal Growth and Reflection
Ingalls reflects on his journey in the programming world,
discussing how life experiences shape one's approach to
work and creativity. He acknowledges the challenge of
maintaining focus on programming while balancing other life
responsibilities.
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Final Thoughts on Programming Education
In conclusion, Ingalls advocates for a diverse educational
background in programming that accommodates various
languages and problem-solving methods. He emphasizes that
programming should be accessible and engaging, promoting
creative thinking and logical reasoning in all learners.
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Critical Thinking
Key Point:Interactive Programming Environments
Enhance Learning and Creativity
Critical Interpretation:Dan Ingalls posits that interactive
programming environments are crucial for fostering
creativity and learning in coding. This notion, while
valid in the context of his experiences at Xerox PARC,
may not universally apply to every programmer’s
journey. Critics, such as Don Norman, argue that the
effectiveness of tools like interactive environments
ultimately depends on the individual's learning style and
the nature of the tasks at hand. Therefore, while Ingalls’
advocacy for immediate feedback in programming is
compelling, it is essential to acknowledge that a
diversity of approaches may yield more comprehensive
educational outcomes.
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Chapter 11 Summary : L Peter Deutsch
Summary of Chapter 11: Peter Deutsch
Early Life and Introduction to Programming
Peter Deutsch began programming at the age of 11 when his
father brought home a memo about design calculations for
the Cambridge Electron Accelerator. He quickly immersed
himself in the world of computers, hanging out at MIT and
implementing Lisp on a PDP-1. By college, at UC Berkeley,
he contributed significantly to Project Genie, one of the early
minicomputer-based timesharing systems, including the
operating system's kernel.
Professional Journey
Deutsch later joined Xerox PARC, where he worked on the
Interlisp system and Smalltalk virtual machine. He played a
crucial role in the development of just-in-time compilation.
As Chief Scientist at ParcPlace and a Fellow at Sun
Microsystems, he authored the "Seven Fallacies of
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Distributed Computing" and the popular Ghostscript
software. Over the years, he received several accolades,
including the ACM Software System Award in 1992.
Transition to Music
In 2002, Deutsch stepped away from professional
programming to explore musical composition. He found
greater fulfillment in music, paralleling his fascination with
programming languages and their structured communication.
Today, he spends time composing music but still engages
with programming, especially in developing a musical score
editor.
Reflections on Programming Issues
In a conversation with Peter Seibel, Deutsch shared insights
into the deep problems with programming languages that
utilize pointers or references. He posited that software ought
to be treated as a capital asset rather than an expense,
emphasizing the importance of ongoing investment in
software maintenance.
Evolution of Programming Philosophy
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Deutsch discussed how his approach to programming and
designing systems has evolved. Initially focusing on small
programs, he transitioned to larger systemic views,
emphasizing interface design and the relationship between
various system components. He believes that different scales
of programming require different approaches and that the
current state of programming languages has not significantly
improved in the last few decades.
The Nature of Software Engineering
He questioned whether programming as a discipline could
ever achieve the same rigor as established sciences, noting
the complexities introduced by pointers and references in
programming languages. Deutsch expressed skepticism about
contemporary methodologies and generally regarded the
software industry with a hint of pessimism, particularly
regarding corporate control of technology.
Conclusion
Ultimately, Deutsch’s journey from an early programmer to a
composer reveals a philosopher's understanding of both
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music and software as languages that affect people
fundamentally. He believes in the necessity of continuing to
refine how we think about programming and software design,
advocating for approaches that better align with human
cognitive processes.
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Chapter 12 Summary : Ken Thompson
Summary of Chapter 12: Ken Thompson
Introduction to Ken Thompson
Ken Thompson is a pioneer in the field of computing, known
for his contributions to Unix, programming languages, and
computer chess. His eclectic interests span analog
computing, systems programming, and various aspects of
computer science.
Early Life and Education
- Thompson learned programming at an early age, having a
fascination with logic and binary arithmetic.
- His academic career included courses in electrical
engineering at Berkeley, where he encountered digital
computers for the first time.
- His experience involved practical applications of
programming, including assembly language and an
interpreter for a language called NELIAC.
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Career at Bell Labs
- Hired to work on the MULTICS project, Thompson
transitioned to developing Unix after Bell Labs withdrew
from MULTICS.
- He collaborated with Dennis Ritchie and invented the B
programming language, which later evolved into C.
- Thompson's work has been recognized through several
awards, including the Turing Award in 1983.
Programming Philosophy and Design Approach
- Thompson emphasizes a bottom-up approach to
programming, often letting the design germinate in his mind
before implementing it in code.
- He uses a combination of programming structures and
mostly writes in assembly or C, favoring simplicity and
efficiency over complexity.
- His debugging style consists of extensive print statements
during development rather than relying on asserts.
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Chapter 13 Summary : Fran Allen
Summary of Chapter 13 from "Coders At Work"
Fran Allen: Career Journey
Fran Allen originally planned to be a math teacher but took a
programming job at IBM Research in 1957 to pay off her
student loans. Unexpectedly, she remained at IBM for 45
years, significantly contributing to compiler projects,
including Fortran and her own PTRAN project, which
focused on automatic parallelization of Fortran programs.
Her work garnered her the Turing Award in 2002, making her
the first female recipient.
Impact on Compiling Techniques
Allen developed crucial techniques in optimizing compiler
practices, including the Static Single Assignment (SSA)
intermediate representation still widely used today. She
spoke on the changes in the computing field regarding the
roles of women, the importance of diversity, and how C
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language impacted computer science negatively.
Teaching and Initial Involvement in Computing
Allen's introduction to programming took place at the
University of Michigan, where she learned to program on an
IBM 650 machine. Her early role required her to teach
Fortran to IBM scientists. She encountered skepticism among
scientists about high-level languages like Fortran but
eventually demonstrated its utility.
Key Projects and Experiences
Her work encompassed projects like the Stretch
supercomputer and the Monitored Automatic Debugging
system. Allen emphasized the beauty of programming as
elegant, straightforward solutions to complex problems. She
valued understanding existing code through explorative
reading to enhance her programming skills.
Management and Leadership
As a manager, Allen encouraged collaboration while guiding
teams strategically. She found earlier roles of informal
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management practices beneficial, noting a lack of hierarchy
promoted teamwork. Allen described the dynamics of female
representation in tech roles and asserted that diversity leads
to stronger teams.
Women in Computing
Allen observed a shift from a rising number of women in
programming to a male-dominated landscape by the late
1960s. She attributed this change to the emergence of
computer science as a formal discipline and stricter hiring
practices.
Reflections on Diversity and the Industry
Fran Allen underscored the importance of diversity in
computing roles not only for innovation but also to ensure
technology serves all societal segments. She highlighted the
need for attracting young minds to computer science by
reshaping its image to be more engaging and inclusive.
Legacy and Personal Insights
Allen reflected on her extensive career at IBM, emphasizing
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her role in bridging industrial and academic insights. She
expressed the necessity of ongoing collaboration between
academia and industry for innovation and discussed her
views on current trends in high-performance computing.
Final Thoughts
In summary, Fran Allen's journey highlights her significant
contributions to computing, the value of diversity, and the
evolution of programming languages, all while sharing her
insights and tackling gender dynamics within the technology
field.
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Chapter 14 Summary : Bernie Cosell
Summary of Chapter 14 - Bernie Cosell
Introduction to Bernie Cosell
Bernie Cosell is a key figure in the development of
ARPANET, the precursor to the modern Internet. He worked
at BBN for 26 years as a master debugger and systems
programmer.
Early Life and Education
- Cosell began programming in high school at the Bronx
High School of Science, using an IBM 1620.
- He attended MIT as a math major but shifted towards
computing, engaging in practical programming experiences.
Career at BBN
- Initially hired as an application programmer, he quickly
transitioned to systems programming.
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- Became responsible for the PDP-1 timesharing system,
acquiring significant expertise in real-time systems.
- Contributed to the IMP project, playing a vital role in the
early days of networking.
Development Philosophy
- Emphasizes the importance of clear, simple code, believing
most programs are not inherently complicated.
- Advocates for writing code that is easy to read and
understand, rather than overly optimizing complex parts
prematurely.
Debugging and Problem Solving
- Developed a unique approach to debugging by
understanding overall system dynamics.
- Preferred to rewrite complicated code rather than patch
existing problematic sections.
Mentorship and Teaching
- Betters programmers by advocating methods that enhance
clarity and maintainability in code.
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- Sees value in teaching object-oriented programming
principles.
Programming Languages and Security
- Critiques the C programming language for its complexities
and inherent security issues.
- Prefers Perl for its flexibility and reduced security concerns
compared to C.
Reflection on the Programming Profession
- Acknowledges the changing nature of programming,
suggesting that new complexities require a different skill set
than earlier in his career.
- Sees the potential for modern programming to be more
collaborative and diverse than in the past.
Conclusion
Cosell identifies as a blend of artist and craftsman in
programming, focusing on elegance and clarity that allows
for ease of understanding and modification in code.
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Chapter 15 Summary : Donald Knuth
Donald Knuth
Overview
Donald Knuth is a renowned figure in computer science,
known primarily for his extensive work, "The Art of
Computer Programming." Over the decades, he has
contributed to computer science through innovations in
algorithm theory and software development, including the
invention of TeX and METAFONT, and concepts like literate
programming.
Early Programming Experience
Knuth's programming journey began as a freshman at Case
Institute of Technology in 1956, where he gained practical
experience with the IBM 650 computer. He learned to
program by improving existing sample programs, leading to
the development of multiple self-learning programs,
including tic-tac-toe.
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Educational Philosophy and Approach to Learning
Knuth emphasizes hands-on experience with programming,
contrasting views like Dijkstra's, which suggest focusing on
theoretical concepts before practical applications. He
advocates for understanding programming through all levels
of abstraction, from low-level machine codes to high-level
concepts.
The Importance of "The Art of Computer
Programming"
The book is considered a definitive text in the field, though
Knuth acknowledges its complexity and mathemetical
intensity. While it serves as a reference for many
programmers, he wishes all programmers would seek to
understand its content thoroughly.
Literate Programming
Install
App to Unlock
Text
and
Knuth
favorsBookey
literate programming,
whichFull
blends
natural
Audio
language with programming
code to improve readability and
understanding. He believes this method allows programmers
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Chapter 16 Summary : Appendix A:
Bibliography
Bibliography
This section lists notable works related to programming and
computer science, highlighting contributions from various
authors. The references cover a wide range of topics, from
foundational texts in algorithms and programming languages
to influential concepts in software design and engineering.
Key Works Mentioned
- *The Art of Computer Programming* by Donald Knuth
- *Beautiful Code: Leading Programmers Explain How They
Think* edited by Andy Oram and Greg Wilson
- *Code Complete* by Steve McConnell
- *Design Patterns: Elements of Reusable Object-Oriented
Software* by Eric Gamma et al.
- *Effective Java* by Joshua Bloch
- *The Mythical Man-Month: Essays on Software
Engineering* by Frederick Brooks
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- *Programming Pearls* by Jon Bentley
These seminal works reflect significant theories,
methodologies, and insights that have shaped the field of
programming and computer science over the decades.
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Best Quotes from Coders At Work by
Peter Seibel with Page Numbers
View on Bookey Website and Generate Beautiful Quote Images
Chapter 1 | Quotes From Pages 26-104
1.The sooner you realize that your map is wrong, the
sooner you'll be able to figure out where it went
wrong.
2.There’s bound to be stuff where this would have gone
faster if we’d had unit tests or smaller modules or
whatever... But when you’re looking at, 'We’ve got to go
from zero to done in six weeks,' well, I can’t do that unless
I cut something out. And what I’m going to cut out is the
stuff that’s not absolutely critical. And unit tests are not
critical.
3.Curiosity—taking things apart. Wanting to know what’s
going on under the hood. I think that’s really the basis of it.
Without that, I don’t think you get very far.
4.Writing is similar to programming in that you're trying to
express a thought to a very dumb person—the
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computer—who has a limited vocabulary. You’re trying to
express a concept with limited tools.
5.The thing that I'm working on that I was most proud of is
really just the fact that we shipped it. The whole thing. I
was very focused on my part... But really just that we
shipped the thing at all and that people liked it.
Chapter 2 | Quotes From Pages 105-177
1.I remember writing a game on a TI-85 calculator
when I was 11 or 12.
2.You never learn something until you have to write
something in it, until you have to live and breathe it.
3.It’s always easier to do something right the first time than
to do a migration with a live service.
4.I try to think mostly in terms of preconditions, and
checking things in the constructor and the beginning of a
function.
5.If you change one thing at a time, you can isolate what
broke and find solutions swiftly.
6.Thinking like a scientist; changing one thing at a time.
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Patience and trying to understand the root cause of things.
7.I think it’s really important to know the whole stack even if
you don’t operate within the whole stack.
8.Stop. Try to figure out what’s going on. Learn how to write
things incrementally so that at each stage you could verify
it.
9.I always start with a spec.txt first.
10.Learn to write things in a language that you would rather
not write it in—and I know it'll take me longer to write in
that language—because I know I’ll be better in the end.
Chapter 3 | Quotes From Pages 178-250
1.His recently published book, JavaScript: The
Good Parts, argues that JavaScript is actually
quite a nice language if one avoids certain features.
2.There are a lot of really good ones out there now, but that's
a fairly recent thing. So until that happened, I would just
hire for quality... I don't care. I just want to know that you
know how to put an algorithm together, you understand
data structures, and you know how to document it.
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3.If you're doing a server application or a desktop application
or an embedded application, you get to choose not only the
language but which specific compiler you're going to use,
which specific runtime you're going to use. You don't get
that choice in JavaScript. You have to run on everything
that’s out there.
4.One of the things that I've been pushing is code reading. I
think that is the most useful thing that a community of
programmers can do for each other—spend time on a
regular basis reading each other's code.
5.But every once in a while something works. Like when
XML was proposed as a data-interchange format, my first
impression of that was, 'My god, this is way, way, way too
complicated. We don’t need all of this stuff just to move
data back and forth.'
6.It’s not clear yet what transformations to the network have
to occur in order to accomplish that. And maybe it’ll be
fine on its own, but I’m more pessimistic. I think we need
to figure out the next leap in order to overcome whatever is
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not working now.
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Chapter 4 | Quotes From Pages 251-313
1.But, at that point, there was a research race to
develop the best bottom-up parser generator, what
yacc was doing, and others would do. It was easy
to see the formal purity translate into fairly clean
code.
2.The connection between theory and practice, especially at
the front end of the compiler construction process, was
attractive to me.
3.I was doing a lot of physics until I switched to math and
computer science.
4.Quality-of-implementation issue there. Maybe there's a
type-theoretic problem there too because it is difficult,
when unification fails, to have useful blame.
5.Programming is partly engineering; there's maybe some
math on a good day. And then there's a lot of practical stuff
that doesn't even rise to the level of engineering in the
sense of civil engineering and mechanical engineering.
6.I think only a certain kind of people. It takes certain skills
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to do a PhD, and sometimes you wonder if it's ultimately
given just because you endured.
7.The famous School of Athens painting with Aristotle
pointing down and Plato pointing up—I'm more on the
pointing-down side now.
Chapter 5 | Quotes From Pages 314-382
1.As Knuth would say, a program is essentially a
work of literature.
2.You really can't accept bad habits from yourself.
3.It's easier to optimize correct code than to correct
optimized code.
4.The fundamental theorem of API design is, when in doubt,
leave it out.
5.Adding people to a late software project makes it later.
6.It's about producing an artifact that is readable,
maintainable, and efficient.
7.You have to go from the gut and talking to someone with a
different perspective can be very helpful.
8.There's so much craft in what we do.
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9.The more you know, the more you have to draw on.
Chapter 6 | Quotes From Pages 383-447
1.It's more the mathematical algorithms—that's like
Platonic beauty. This is more like architecture.
You admire a fine building—it's not a
mathematical object.
2.Documentation is thinking about the types in a way. I
suppose you start off with 'is a'. You say, 'A melody is a
sequence of notes.'
3.If you want to understand C, write a C compiler. If you
want to understand Lisp, write a Lisp compiler or a Lisp
interpreter.
4.You should consider the possibility of opening them. Not
completely reject the idea. It's worthwhile seeing if the
direct route is quicker than the packaged route.
5.Programming is fundamentally different to the way we
construct things in the real world.
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Chapter 7 | Quotes From Pages 448-531
1.Avoid success at all costs.
2.When you start something, no matter how humble, you get
started.
3.You can’t just slap abstraction on abstraction and expect it
to work perfectly.
4.As long as we can keep building good abstractions, we can
keep building bridges across the Atlantic.
5.Beautiful code is code that is limpidly transparent.
Chapter 8 | Quotes From Pages 532-598
1.I think maybe I have an aptitude for this
programming stuff.
2.Maybe teachers don’t really know everything.
3.In order to solve this, I need to know A, B, and C.
4.You can’t do everything yourself.
5.Learning to work on teams...enables you to actually work
on bigger things even by yourself.
6.A lot of programming is being able to keep as much as you
can inside your head.
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7.It’s just a one little fix.
8.You have to have some idea and say, ‘Here's the direction
to go,’ and then be able to say, ‘Now, I've got to refine it.’
9.You want to optimize, but left to yourself, you optimize
your own sense of comfort...
10.You’ve got to be able to make progress and then improve
on it.
Chapter 9 | Quotes From Pages 599-686
1.I guess to me the biggest change is that nowadays
you can't possibly know everything that's going on
in the computer.
2.I think that the big change in my thinking is what I set
down in that talk ‘Growing a Language’, at OOPSLA
almost ten years ago, in 1998.
3.I think it's a mistake to think that one language solves all
problems better than any other language, or even equally
well.
4.You can't prove by testing that a program is bug-free, you
can only prove that you failed to find any bugs with your
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tests.
5.The important thing is just to realize that it is a trade-off
that you make. And you can't hope to eradicate all bad
code.
6.I think it's important that a language be able to capture
what the programmer wants to tell the computer, to be
recorded and taken into account.
7.Learning to measure [resource constraints] accurately is a
good thing.
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Chapter 10 | Quotes From Pages 687-758
1.If Alan Kay is Smalltalk's father, Dan Ingalls is its
mother.
2.Anything where you get immediate gratification feeds on
itself by definition.
3.I think, anything where you get immediate gratification
feeds on itself by definition.
4.I’m an embrace-diversity guy.
5.What you should be doing with your students is teaching
them to think generally—think outside the box and plot the
other courses we should be pursuing.
6.To me, you don’t need any involvement with computers to
have that experience of what you see isn’t right, what do
you do? Inquire. Look.
7.There’s an algebra of graphics.
8.Computers allowed mathematics to become a synthetic, not
just an analytic art.
9.I think it’s very important to keep that liveliness, that
malleability, that changeability.
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Chapter 11 | Quotes From Pages 759-822
1.I think that’s pretty much what’s going on.
2.I’ve always been drawn to systems of denotative
symbols—languages.
3....the architecture of systems matters more than the
algorithms.
4.You have to think of it the way you would think of a capital
asset.
5....there are a lot of different roles and a lot of different
processes and skills that go into achieving that end.
6....the things that I see getting reused these days are either
very large or very small.
7.I wasn’t excited about software anymore.
Chapter 12 | Quotes From Pages 823-880
1.Just because I was fascinated.
2.I had a horrible math primary education.
3.I suspect that I would eventually get fired, but it didn’t
bother me.
4.When I get to sleep until I wake up, I’m in better shape to
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work.
5.I’ve never been a lover of existing code.
6.I feel the same. Nothing much new has happened in
computers that you couldn't have predicted.
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Chapter 13 | Quotes From Pages 881-936
1.I always try to find what they’re excited about.
That’s kind of a basic threshold for me. And it
doesn’t matter whether it has anything to do with
programming or computers. If they can’t get
enthusiastic about something, they’re not going to
get charged up in a group.
2.One of the things I remember really enjoying is reading the
original program—and considering it very elegant. That
captured me because it was quite a sophisticated program
written by somebody who had been in the field a
while—Roy Nutt. It was beautifully done.
3.Software was the newest-of-the-new stuff that was going
on. And, it's also probably still to this day considered a soft
part of the science. And that’s where women gravitated.
Early on they were programmers on ENIAC and at
Bletchley Park.
4.I think I had some hard lessons on the Stretch project. I
remember some of the people on the project came in and
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said to me one day that we ought to be using list and hash
functions. Well, we knew about list programs but hashing
was new. And I said, 'No, we can't do that. We don’t know
how to do that.' The next Monday I came in and they had
done it. They had torn down the system and rebuilt it with
hashing. It worked, and it was much faster. So that was a
big lesson to me.
5.The field of compilers was just a marvelous field because
the computers continued to present challenges. And the
problems being solved continued to be increasingly
challenging.
Chapter 14 | Quotes From Pages 937-1021
1.In retrospect, I wasn't very good. I had seen a
PDP-1, but I had no idea how to program one. I
didn't know anything about time-sharing.
2.I made things work. I really believed that computers were
deterministic, that you could understand what they were
supposed to do, and that there was no excuse for computers
not working, for things not functioning properly.
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3.When I say, ‘You don't get credit because the program
works. We're going to the next level. Working programs are
a given,’ they say, ‘Oh.’
4.There are very few inherently hard programs. If you're
looking at a piece of code and it looks very hard—that's
almost always an indication that it was poorly thought
through.
5.I always wanted clean listings. I wanted the thing to be just
right. When you have to fix a bug in a program, you never,
ever fix the bug in the place where you find it.
6.Programmers are the worst optimizers in the world. They
always optimize the part of the code that's most interesting
to optimize, and almost never get the part of the code that
actually needs optimization.
7.Programming is, in that regard, an engineering discipline.
You have to know what to do. You have to know what your
capabilities are.
8.It's kind of like the problems we had with interrupt bugs.
You could argue there's no real magic in writing a program
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with sequence breaks or interrupts.
9.I would hate to cross swords with him, but I say in my
computer-security class that the biggest security problem to
befall modern computers is C.
10.I have to admit almost all of the people I know who did
stellar things when they were young did it intensely.
Chapter 15 | Quotes From Pages 1022-1087
1.When you're learning something, you've got to see
something at all levels. You've got to see the floor
before you build the ceiling.
2.I think, that's a fundamental error made by scientists in
every field. They don't realize that when you're learning
something, you've got to see something at all levels.
3.Computer science doesn't all boil down to a bunch of
simple things. If it turned out that computer science was
very simple, that all you needed to do was find the right 50
things and then learn them really well, then I would say,
'OK, everybody in the world should know those 50 things
and know them thoroughly.' But it isn't that way.
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4.It's really amazing, though, when you're writing a book, the
influences that will make you choose different words. It's
mysterious how it gets in there.
5.The best way to communicate is to say things both
informally and formally that are related. And it just
provides a natural framework for switching between the
natural language, English, and the formal language, C or
Lisp or whatever is your formal language, and putting this
together.
6.You're always wanting to push further. Maybe someday
somebody will say, 'No, I'm not going to be innovative; I'm
just going to be clean and simple, and I'm going to stick to
it.'
7.I have to find the way to do the conversion, but my source
text tries to stay closer to my brain than to the machine.
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Chapter 16 | Quotes From Pages 1088-1092
1.I believe that the role of the programmer is to be
an artist working with code.
2.In order to be a good programmer, you need to have a
fascination with the process of programming.
3.Simplicity is the soul of efficiency.
4.The best programs are the ones written in a way that
maximizes the programmer's ability to change and adapt
them.
5.The most important part of programming is thinking about
the right problems to work on.
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Coders At Work Questions
View on Bookey Website
Chapter 1 | Jamie Zawinski| Q&A
1.Question
What initially drew Jamie Zawinski to programming?
Answer:Zawinski was drawn to programming in
high school when he had the opportunity to play
around with TRS-80 computers and BASIC. He had
a passion for digging into programming languages
and was inspired by his interest in artificial
intelligence, which led him to learn Lisp alongside a
friend.
2.Question
What did Zawinski learn about working in groups while
programming at Carnegie Mellon?
Answer:He recalls that working at the Carnegie Mellon lab
involved being surrounded by graduate students and learning
from observing their coding practices, as well as receiving
feedback from his manager in a somewhat Zen-like manner.
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3.Question
How did Zawinski feel about traditional educational
paths versus practical experience?
Answer:He hated high school and found formal education to
be repetitive and unengaging. He preferred the actual coding
experiences he had in a workplace setting that allowed him to
learn by doing rather than through standardized tests.
4.Question
What was Zawinski's mentorship experience like in his
early programming career?
Answer:He talked about the importance of having mentors
who recognized when it was time to challenge him with more
significant tasks, allowing him to grow and learn in a
supportive environment.
5.Question
What does Zawinski believe is crucial for budding
programmers?
Answer:He emphasizes the importance of curiosity—having
the desire to take things apart, understand them, and build
something new. This hands-on exploration fosters learning
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and can lead to mastery of programming.
6.Question
How does Zawinski define the satisfaction of
programming?
Answer:For Zawinski, the core satisfaction of programming
comes from problem-solving—understanding how to make
the machine do what you want, rather than simply writing
code for its own sake.
7.Question
What qualities does Zawinski attribute to good code?
Answer:He believes good code should be well-structured,
maintainable, and approachable for others to read. Important
factors include lengthy variable names for clarity,
informative comments, and a logical organization that
simplifies understanding.
8.Question
In terms of programming languages, how has Zawinski's
experience shaped his views?
Answer:Zawinski holds a strong dislike for C++ and often
finds pleasure in more straightforward languages like C and
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Java, which he feels allow programmers to express ideas
more clearly without the unnecessary complexities found in
other languages.
9.Question
What does Zawinski say about the future of
programming and the skills required?
Answer:He acknowledges that the landscape of programming
has shifted significantly; modern programmers must often
navigate existing codebases and dependencies rather than
creating everything from scratch, which requires a different
skill set focused on understanding and integrating existing
technologies.
10.Question
What advice does Zawinski have for self-taught
programmers?
Answer:He encourages them to embrace a hands-on
approach, taking apart and exploring code rather than
sticking rigidly to theory. He suggests that practical
experience will teach valuable lessons that traditional
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education might not provide.
11.Question
What does Zawinski think is essential in understanding
and maintaining software?
Answer:He believes that understanding how a piece of
software works requires diving deep into the code, exploring
it, and figuring out its structure, as eventual maintenance
always necessitates a good grasp of the original mechanics.
Chapter 2 | Brad Fitzpatrick| Q&A
1.Question
How did your early experiences with programming shape
your career?
Answer:Learning to program at a young age,
facilitated by my dad, ignited my passion for
technology. My childhood memories of writing
BASIC programs were foundational, and by
building my first commercial website as a teenager, I
developed skills crucial for my later work on
LiveJournal and Danga Interactive.
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2.Question
What advice would you give to those learning to
program?
Answer:Don't shy away from reading other people's code. It
might seem daunting, but doing so helps you see new
patterns and styles of thinking that can enhance your own
coding practices. Also, work on projects slightly beyond your
current ability to challenge yourself.
3.Question
How did you balance college with your programming
projects?
Answer:I found a unique balance: while college classes felt
boring since I already had experience, running LiveJournal
kept me engaged. It was crucial for my learning experience
and provided practical application of what I was studying.
4.Question
What role did open source play in your development as a
programmer?
Answer:Engaging with open source helped me understand
complex systems and community dynamics. Working on
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projects like Gaim opened my eyes to real-world
programming challenges, enabling me to contribute
meaningfully and learn from other talented developers.
5.Question
Reflecting on scaling LiveJournal, what were the key
lessons learned?
Answer:One significant lesson was to design with future
growth in mind. I realized that planning for expansion and
scalability from the start would have saved us from extensive
migrations and performance issues later on.
6.Question
What programming languages have shaped your
development?
Answer:I would say Perl and C have had the most impact, as
they allowed me to write both high-level and low-level code
efficiently. More recently, I’ve found appreciation for Python
and Java in professional environments.
7.Question
What is your perspective on the importance of debugging
skills?
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Answer:Debugging is integral to good programming. It's
essential to approach it methodically, treating it like a
scientific experiment to find the root cause of a problem
rather than hastily rewriting code that may be working except
for a small issue.
8.Question
In terms of team dynamics, how important is
communication in programming?
Answer:Effective communication is crucial. The best
solutions often result from collaboration. Being able to share
ideas and critique each other’s work not only improves the
product but also fosters a positive work environment.
9.Question
How do you view the relationship between programmers
and the tools they use?
Answer:The tools are important, but mastering them can take
time. It pays off to invest effort into learning your editor or
environment well; it can significantly enhance your
efficiency and effectiveness as a programmer.
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10.Question
How can self-taught programmers advance their skills?
Answer:Engagement in challenging projects can accelerate
learning. Working on diverse problems exposes you to
different techniques and strategies, which broadens your skill
set. It's also valuable to be involved in communities where
you can exchange ideas and get feedback.
11.Question
What are your thoughts on the future of programming as
a discipline?
Answer:Programming is still evolving and does not yet have
the same rigor or structure as traditional engineering fields.
However, as the importance of software grows, I believe
we'll see increasing demands for formal processes and
standards in our industry.
12.Question
What distinguishes a great programmer from a good
one?
Answer:A great programmer often has a genuine passion for
what they do, proven experience outside of rigid job
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requirements, and the ability to adapt and learn continuously.
Those who maintain a curiosity and willingness to explore
new technologies while applying best practices tend to excel.
13.Question
How do you maintain a balance between technological
exploration and practical application?
Answer:I tend to engage with new technologies only when
there’s a practical need. It’s essential not to get lost in the
latest trends but rather to integrate them meaningfully into
your work or projects.
14.Question
What personal projects have you pursued recently?
Answer:Even during down times, I keep coding for fun. For
example, I recently built a solver for a mobile game to
explore dynamic programming techniques and engaged with
the game’s developer by providing statistical insights that
improved gameplay.
Chapter 3 | Douglas Crockford| Q&A
1.Question
What was Douglas Crockford's first experience with
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programming?
Answer:Crockford's first experience with
programming was taking a Fortran class at San
Francisco State University purely by chance, as he
couldn't get into the studio for his television
broadcasting major.
2.Question
How does Crockford describe his evolution from
programming to multimedia and back?
Answer:Crockford's career involved constant movement
between media and programming, starting in his early
college days with an interest in how to make computers more
approachable for non-programmers and eventually merging
those interests as digital media advanced.
3.Question
What does Crockford see as the biggest change in
programming philosophy over the years?
Answer:He notes that early programming focused heavily on
efficiency due to limited hardware resources, whereas today,
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the focus is more on developing large applications even in
less efficient environments like browsers.
4.Question
What role does code reading play in team development
according to Crockford?
Answer:Crockford emphasizes that code reading is crucial
for the team's health and quality of work. It allows for better
communication among team members, highlights areas
where the code might be confusing, and improves overall
project quality.
5.Question
What is Crockford's view on the evolution of technologies
like JavaScript and the importance of simplicity in
design?
Answer:Crockford advocates for keeping programming
languages and standards simple, arguing that complexity can
hinder the potential success of a language or standard.
6.Question
How does Crockford view the relationship between
programming, literacy, and communication?
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Answer:He believes that being an effective programmer
requires strong communication skills, akin to writing well in
any language, and that programmers should prioritize
readability and maintainability in their code.
7.Question
What does Crockford suggest is necessary for improving
JavaScript according to his philosophy?
Answer:He suggests that the best way to improve JavaScript
is by simplifying it, advocating for removal of unnecessary
features and focusing on the core functionalities that the
language does well.
8.Question
What advice does Crockford give to programmers
looking to improve their skills?
Answer:Crockford advises programmers to read extensively,
find good literature on programming, and study quality code
from reputable sources to develop their skills further.
9.Question
What is the 'second-system effect' and how does it relate
to programming projects?
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Answer:The 'second-system effect' refers to the common
failure of developers to deliver on overly ambitious projects
after initial successes, as they overlook the lessons learned
from previous experiences, leading to defeat in more
complex re-implementations.
10.Question
How does Crockford assess the state of the software
industry today?
Answer:Crockford views the software industry as a complex
landscape, improving yet still struggling with many historical
challenges and inefficiencies, where innovation often
competes against the baggage of existing technologies.
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Chapter 4 | Brendan Eich| Q&A
1.Question
What motivated Brendan Eich to switch from physics to
computer science?
Answer:Eich realized that coding intrigued him
more than physics; he found the connection between
theory and practical engineering particularly
appealing, which led him to explore programming
more deeply.
2.Question
What were Eich's initial programming experiences like?
Answer:Eich began programming as a junior in college,
creating simple games like Pac-Man and Donkey Kong in
Pascal, which required him to think about modularity and
code structure for the first time.
3.Question
How did programming influence Eich's career path?
Answer:Programming opened doors for him in summer jobs
when physics did not. His interest in compilers and language
design during his studies ultimately redirected his career
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towards computer science.
4.Question
What lessons did Eich learn about programming through
his experience with JavaScript?
Answer:Eich learned the importance of balancing theory and
practical application. He also realized that programming
should be pragmatic and that it requires continuous evolution
to remain effective in solving real-world problems.
5.Question
What advice does Eich give regarding programming
languages?
Answer:Eich advocates for the evolution of programming
languages to better serve developers and wants to connect
theoretical research with practical applications in the
industry.
6.Question
Why does Eich emphasize the importance of static
analysis?
Answer:Eich believes that static analysis can catch bugs
earlier in the development process, thereby improving the
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reliability and safety of software, especially as complexity
increases.
7.Question
How does Eich feel about the future of programming
languages?
Answer:He is optimistic and believes we are entering a
'second golden age' for programming languages, stating that
languages should continue to evolve and adapt to
programmer needs.
8.Question
What does Eich suggest about learning programming?
Answer:Eich emphasizes that practical experience and
engaging with real world problems are essential for learning
programming, rather than just relying on theoretical
knowledge or academic credentials.
9.Question
How does Eich define good programming practice?
Answer:He believes in iterative design, where programmers
adapt based on feedback from their code and maintain an
ongoing dialogue with users to understand their needs better.
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Chapter 5 | Joshua Bloch| Q&A
1.Question
How did Joshua Bloch first get into programming?
Answer:Joshua Bloch was introduced to
programming at a young age through his father,
who took a programming course in 1971 and
learned a bit of Fortran. The real spark came a
couple of years later when he encountered
timesharing systems at his school, which allowed
more interactive use of computers. It was this
interactivity that truly captivated him and solidified
his passion for programming.
2.Question
What was the first interesting program Joshua Bloch
wrote?
Answer:Joshua Bloch fondly remembers writing a version of
the classic game 'Twenty Questions' called 'animals' on July
4th, 1977. This program featured a binary tree that learned
new animals by asking the user yes-or-no questions, thus
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giving him an 'aha' moment realizing the program could
'learn'.
3.Question
What important programming philosophy does Joshua
Bloch emphasize?
Answer:Joshua Bloch emphasizes the importance of
readability in programming. He cites Donald Knuth's
assertion that a program is essentially a work of literature,
stressing that making code readable is crucial for
maintenance and understanding.
4.Question
What changes in programming philosophy has Joshua
Bloch experienced over the years?
Answer:Bloch notes that while he initially worried more
about the simplicity of his code and less about reusing it, he
has since become much stricter with himself about not
repeating code and striving for clean, maintainable designs.
Essentially, he has learned to be harder on himself to avoid
bad habits.
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5.Question
What books does Joshua Bloch recommend for
programmers?
Answer:Bloch recommends several books for programmers,
including 'Design Patterns' for its vocabulary around
software design, 'Elements of Style' for improving writing
skills relevant to coding, and 'The Mythical Man-Month' for
its timeless insights into software project management.
6.Question
What does Joshua Bloch suggest about learning new
programming languages?
Answer:He suggests that learning new programming
languages becomes easier if you already know several others,
as experiences with past languages will inform your
understanding of new ones. He also emphasizes the
importance of remaining open-minded towards the unique
features that different languages offer.
7.Question
How does Joshua Bloch approach API design?
Answer:Joshua Bloch believes in a requirements-driven
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approach for API design. He stresses the importance of
understanding the problems to be solved, iterating with use
cases before writing detailed specifications. He encourages
writing code that utilizes the API before the implementation
to ensure it meets the necessary needs.
8.Question
What does Joshua Bloch see as the key to successful
programming?
Answer:Bloch asserts that successful programming is not just
about making code work, but about creating artifacts that are
readable, maintainable, and efficient. He believes a clean,
well-structured program can significantly ease future
optimization and maintenance.
9.Question
Is there a specific programming culture or philosophy
that Joshua Bloch believes in?
Answer:Joshua Bloch believes in a culture of empathy within
programming, where understanding the end user's needs is
crucial. He emphasizes the importance of teamwork and
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collaboration in programming, stating that bouncing ideas off
others can lead to better design decisions.
10.Question
What advice does Joshua Bloch give regarding handling
complexity in programming?
Answer:Bloch advises against unnecessary complexity in
design, echoing the sentiment that simplicity is better. He's
learned to monitor his own 'complexity meter': once it
indicates an increase, he believes it's time to reassess and
redesign for simplicity.
Chapter 6 | Joe Armstrong| Q&A
1.Question
How did Joe Armstrong start his journey in
programming?
Answer:Joe Armstrong began programming in high
school at the age of 17. He learned to write Fortran
on a mainframe computer provided by the local
council, which required him to send off coding
sheets and punch cards to be processed, leading to
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long turnaround times. This experience taught him
the importance of developing subroutines in parallel
to speed up the process.
2.Question
What was Joe Armstrong's undergraduate experience in
programming?
Answer:During his time in the physics department at
University College London, he was exposed to programming
from the first year. The turnaround for programs improved,
leading him to run several programs concurrently for faster
feedback.
3.Question
What influenced Joe Armstrong to shift from physics to
computer science?
Answer:As an undergraduate, Armstrong found the
programming courses enjoyable and became adept at
debugging others' programs—often earning beers in
exchange for his help. His passion for programming grew,
especially during his work in a laboratory that utilized
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computing for physics.
4.Question
What is Joe Armstrong's perspective on debugging?
Answer:Armstrong views debugging as a systematic process.
He emphasizes the need to work backwards through the
program when errors arise, famously asserting that all errors
will occur close to the last change made. His method hinges
on reproducible errors, which allow for effective pinpointing
of issues.
5.Question
How does Joe Armstrong approach the design of software
like Erlang?
Answer:Armstrong, along with his colleagues, tackled hard
problems first during the design of Erlang. They engaged in
extensive discussions, wrote documentation on-the-fly, and
iteratively refined their code based on real user input and
practical challenges.
6.Question
Why does Joe Armstrong value documentation in
programming?
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Answer:Armstrong believes that documentation is essential
for understanding a program's purpose. It shifts his mindset,
ensuring he clearly defines the problem before coding, which
helps in building a more robust and understandable codebase.
7.Question
What does Joe Armstrong think about the future of
programming languages?
Answer:Armstrong is optimistic about the evolution of
programming languages, citing languages like Haskell and
Erlang as examples of good design. He believes that as we
learn from past limitations, new languages will continue to
emerge that better address complex programming needs.
8.Question
What role does intuition play in Armstrong's
programming process?
Answer:Armstrong has learned to trust his intuition over
time. He recognizes that the best code emerges when he is
fully engaged and in a flow state. If he senses that something
feels wrong while coding, he now prioritizes stepping back
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rather than pushing through.
9.Question
How does Armstrong describe the beauty of code?
Answer:Armstrong finds beauty in code that is minimalistic
and efficient. He appreciates code that achieves its purpose
without unnecessary complexity, much like a well-designed
building.
10.Question
What lessons about learning does Joe Armstrong impart?
Answer:He emphasizes the value of continuous learning and
understanding over rote memorization. By making a habit of
learning new concepts regularly, programmers can
dramatically increase their expertise and problem-solving
capabilities.
11.Question
How does Joe Armstrong view the relationship between
language design and software reuse?
Answer:Armstrong suggests that many object-oriented
languages struggle with reusability due to implicit
environments, while functional languages like Erlang
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promote reusability through pure functions and clear
abstractions. He advocates for better cross-language
interactions and simpler connective mechanisms.
12.Question
What does Joe Armstrong believe makes a good
programmer?
Answer:He looks for a passion for solving interesting
problems rather than just knowledge of specific
programming languages. He believes that problem-driven
programmers tend to be more innovative and adaptable.
13.Question
What does Armstrong say about concurrency in
programming?
Answer:Armstrong argues that Erlang's message-passing
model inherently improves concurrency. By advocating for
copying data rather than shared memory, he highlights its
efficiency and fault tolerance, proving to be beneficial in
multicore systems.
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Chapter 7 | Simon Peyton Jones| Q&A
1.Question
What inspired you to pursue functional programming?
Answer:I was drawn to functional programming by
my professor's demonstration of building doubly
linked lists without mutation and the elegance of
lazy evaluation. It opened my eyes to a completely
different way of approaching programming and
sparked my fascination with what seemed like a
radical new wall to build in the realm of
programming.
2.Question
Did you ever have formal education in computer science?
Answer:No, I didn't have formal teaching about computers at
school. My programming education was informal, driven by
my curiosity and passion, leading me to engage with
computers largely through self-exploration.
3.Question
What was your first significant programming project?
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Answer:A program to extract 24-digit square roots fitting
into 99 memory locations on my school's computer. It was a
proud moment that marked the beginning of my serious
engagement with programming.
4.Question
How did you transition from programming into research?
Answer:After spending years in industry and realizing that
entrepreneurship wasn’t for me, I took up a position as a
lecturer and was given the opportunity to engage in research,
eventually finding my footing through mentorship and
exploration.
5.Question
What do you think about the significance of a PhD in
your field?
Answer:While I believe having a PhD is crucial for
advancing in academia or serious research labs, I also feel
that passion and curiosity hold equal importance for
individuals who want to contribute significantly to
programming or software development.
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6.Question
How do you view the relationship between programming
languages and productivity?
Answer:Programming languages are designed to make
programming easier, but they are often evaluated through
formalized studies, which are hard to undertake. The
relationship is complex; while some languages may enhance
productivity, practical evidence of this is often lacking.
7.Question
Why do you believe functional programming has
increasing promise?
Answer:Functional programming presents a different
paradigm that regards side effects and state management in a
unique way. As software projects grow, the ability to handle
complexity and parallelism while ensuring program clarity
makes functional programming increasingly relevant.
8.Question
What is your perspective on Software Transactional
Memory (STM)?
Answer:STM offers a superior alternative to traditional locks
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and condition variables by allowing more intuitive and
clearer management of concurrency, making it easier for
developers to reason about shared state.
9.Question
What do you consider to be beautiful code?
Answer:Beautiful code is obvious in its correctness; it has a
transparent quality that makes it clear why something works
correctly, not just for the creator but also for anyone else
reading it.
10.Question
What do you enjoy most about programming?
Answer:I find joy in the intellectual challenge of trying to
craft programs with integrity and beauty. The process of
seeking elegant solutions keeps me motivated and engaged in
programming.
11.Question
What is the biggest challenge in maintaining large
software systems?
Answer:As software systems live long lives, they often
accumulate complexity that compromises their clarity and
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beauty. Without regular refactoring and care, even the
best-designed systems can become disfigured over time.
Chapter 8 | Peter Norvig| Q&A
1.Question
What sparked your interest in programming during high
school?
Answer:I was introduced to programming when my
teacher tried to teach us how to shuffle a deck of
cards using a random number generator approach.
My immediate reaction was that it was inefficient
and likely not to terminate in a reasonable time,
which led me to think critically about different
algorithms and eventually to realize that I had an
aptitude for programming.
2.Question
How did your early experiences shape your future in
programming?
Answer:My exposure to programming in high school,
especially through hands-on problem-solving, made me
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realize that I could tackle complex problems and that
teachers don’t always have all the answers. This encouraged
me to take initiative in my learning and fostered a belief that
exploration and understanding were keys to becoming a
proficient programmer.
3.Question
Do you think programming has become a more social
activity than it used to be?
Answer:Yes, the nature of programming has changed; it has
evolved from isolated, batch processing environments to
more fluid, interactive team dynamics where collaboration
with customers and within teams is essential for success.
4.Question
What advice would you give to new programmers
entering the industry?
Answer:Beyond writing code, it's crucial to develop
interpersonal skills to effectively communicate with team
members and understand customers' needs. Success in
programming today is as much about collaboration and
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communication as it is about technical skills.
5.Question
What have you learned about the importance of testing
during your career?
Answer:Writing extensive tests is vital. Testing shouldn't just
focus on whether an answer is right or wrong; it should also
involve complex regression tests that consider various
conditions and potential failure modes of the software. It’s
essential to understand the context in which code will run
and perform under different scenarios.
6.Question
How important is formal education in programming
compared to self-learning and real-world experience?
Answer:While formal education in computer science
provides useful foundational knowledge, much of
programming is learned through experience and practical
problem-solving. Adapting to industry standards and
working in teams often involves skills that aren’t thoroughly
covered in academic settings.
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7.Question
Do you believe that everyone should learn some
programming?
Answer:Understanding the basics of programming is
important for being an educated citizen in today's tech-driven
world. It’s akin to understanding how a car works; people
should have at least enough knowledge to appreciate the role
of software in their lives.
8.Question
What essential skill do you think every programmer
should have?
Answer:The ability to make progress and then iterate on that
progress is key. Programmers need to be able to start with an
idea, develop it, and improve upon it based on feedback and
new insights.
9.Question
How should teams balance between independent work
and collaboration in programming?
Answer:While some tasks are best tackled independently,
brainstorming and initial problem definition should be done
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collaboratively. Once the team has a clear understanding of
the goals, members can work individually and come together
to debug or integrate later.
10.Question
What do you think is a common misconception about
programming?
Answer:A common misconception is that programming is
about knowing a specific syntax or programming language
well. In reality, it’s more about problem-solving and
understanding how to leverage existing tools and libraries to
build effective solutions.
Chapter 9 | Guy Steele| Q&A
1.Question
What inspired Guy Steele to get involved in
programming?
Answer:Guy Steele's early fascination with science
and mathematics, rooted in reading science fiction
and math books while in elementary school, led him
to learn about computers. A pivotal moment
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occurred in ninth grade when a friend informed him
about an IBM 1130 minicomputer in his school's
basement, sparking his interest further. After seeing
a Fortran program, he quickly became hooked,
learned Fortran over a Thanksgiving weekend, and
thus began his journey in programming.
2.Question
How did Guy Steele's mentorship influence his journey in
programming?
Answer:Steele credited his math teachers at Boston Latin
School, particularly Ralph Wellings, who encouraged his
passion by allowing him to spend extra time in the computer
lab, under the condition that he maintained high grades in
math. This encouragement, along with experiences at MIT
through the High School Studies Program, laid a robust
foundation for his developing interests in computing.
3.Question
What was the significance of learning various
programming languages for Guy Steele?
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Answer:Learning multiple programming languages was
essential for Steele, as it broadened his understanding and
approach to programming. He mastered languages ranging
from COBOL to APL, C, and Lisp, among others, each
contributing unique paradigms and techniques. His extensive
experience culminated in designing two major dialects of
Lisp and working on innovative languages like Fortress,
illustrating how diverse programming languages shaped his
thinking and contributions to computer science.
4.Question
Can you describe an early notable project that Guy Steele
worked on? What made it interesting?
Answer:One of Steele's notable early projects involved
creating a program for generating keyword-in-context
indexes on the IBM 1130. What made this interesting was the
challenge of efficient out-of-core sorting techniques on a
memory-restricted machine. He implemented multiway
out-of-core merge sorts and learned a lot about the intricacies
of programming and optimization during this project.
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5.Question
In Steele's view, how has the practice of programming
evolved over the years?
Answer:Steele observed that programming today is
inherently more complex due to the expansion in the number
of components and layers within computing systems. Though
programming is easier with current tools and languages than
it was in his early days, the ambition and scale of
programming tasks have grown significantly, making it a
more demanding endeavor for modern programmers.
6.Question
What lesson does Steele impart about the relationship
between programming languages and tools?
Answer:Steele emphasizes that programming languages and
tools should facilitate ease of writing both correct and
understandable code while also capturing detailed
relationships and properties of the code. He advocates for
designing languages that not only meet the technical
requirements but also account for the social dynamics of how
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languages evolve and are used in practice.
7.Question
How does Guy Steele perceive the connection between
beauty and programming?
Answer:Steele finds beauty in elegantly written programs,
like TeX, which embody simplicity and clarity in design. He
believes that well-crafted code exhibits qualities that resonate
with aesthetic principles, where the elegance of a solution
reflects both mathematical insights and programming
artistry, enriching the programmer’s experience and
understanding.
8.Question
What does Guy Steele indicate as a major challenge faced
by programmers today?
Answer:A significant challenge faced by modern
programmers is the rapid increase in complexity within
software systems, which makes it impossible for any one
person to understand every detail of the computer's
functioning. He suggests that programmers are now pushed
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further than their predecessors due to the high level of
abstraction in computing, requiring sophisticated tools and
languages to navigate this newfound complexity.
9.Question
Reflecting on his experiences, what advice does Steele give
to new programmers?
Answer:Steele advises new programmers to cultivate a strong
foundation in diverse programming concepts while also
remaining curious and open to various programming styles.
He suggests engaging with community standards and
leveraging the knowledge of mentors to navigate through the
complexities and sheer volume of information in the software
world.
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Chapter 10 | Dan Ingalls| Q&A
1.Question
What inspired you to start programming at such a young
age?
Answer:I grew up tinkering and inventing in my
basement. I studied physics at Harvard, where I
took a programming course in Fortran and found a
love for programming from the start. It fueled my
curiosity and desire to create.
2.Question
How did your early experiences shape your approach to
programming?
Answer:My hands-on experiences, like working with analog
computers, instilled in me a need for immediacy and
real-time feedback in programming. This led to my focus on
creating interactive and immediate programming
environments.
3.Question
What is the importance of interactive programming
environments for you?
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Answer:Interactive environments provide immediate
gratification, which is essential for creativity. They allow for
experimentation and learning in real-time, fostering a deeper
understanding of programming concepts.
4.Question
How do you view the role of ignorance in creativity,
particularly in programming?
Answer:Ignorance can create space for innovation. By not
being constrained by existing knowledge, one may explore
uncharted territories and develop original ideas and solutions.
5.Question
What advice do you have for fostering creativity in
programming?
Answer:Embrace diverse experiences and perspectives in
programming. Let people explore various tools and
languages; creativity often flourishes in environments where
individuals can experiment freely.
6.Question
How do you see the balance between complexity and
simplicity in programming?
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Answer:Simplicity is essential; it allows easier understanding
and manipulation of systems. However, complexity is
sometimes necessary to solve intricate problems, so the key
is to find a balance that maximizes effectiveness without
overwhelming.
7.Question
Why do you believe it's important for children to learn
programming?
Answer:Programming fosters logical thinking and
problem-solving abilities. Just like literacy in reading and
math is crucial, understanding programming languages can
empower children to understand technology and its
implications in our world.
8.Question
Reflecting on your career, what has remained constant in
your programming philosophy?
Answer:The objective remains the same: to understand the
underlying kernels and principles of systems we're working
with, and to create tools that empower and inspire creativity
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and learning.
9.Question
What lesson do you believe is crucial for upcoming
software developers?
Answer:Focus on immediate gratification through small
wins. This builds motivation and can lead to deeper
exploration and understanding of complex systems.
10.Question
How do you perceive the future of programming
languages and environments?
Answer:I envision more dynamic and user-friendly
environments that foster creativity. The challenge will be to
integrate the depth of understanding required with the
user-friendly interfaces necessary for broader accessibility.
11.Question
What makes your work at Lively Kernel significant to
you?
Answer:Lively Kernel represents a culmination of my
experiences, tying together principles of interactivity,
educational value, and the potential for broader computing
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environments that are accessible to everyone.
12.Question
What do you hope for future iterations of programming
tools?
Answer:I hope future tools will inspire more profound
inquiry and understanding while being flexible enough to
adapt to the user’s needs. Making programming intuitive and
accessible is key.
13.Question
Reflecting on your journey, what keeps you passionate
about programming?
Answer:The thrill of creation and discovery keeps me
engaged. Each project is an opportunity to dive deep into a
new concept, pushing the boundaries of knowledge and
technology.
Chapter 11 | L Peter Deutsch| Q&A
1.Question
How did Peter Deutsch start programming?
Answer:Peter Deutsch began programming at the
age of 11 by chance when he found a memo from the
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Cambridge Electron Accelerator that contained
computer code. His curiosity was piqued, leading
him to ask his father for the original memo, which
ultimately set him on the path of programming.
2.Question
What was Deutsch's first significant encounter with a
computer at MIT?
Answer:At the age of 14, Deutsch became involved with the
PDP-1 and TX-0 computers at MIT, where he discovered
Lisp and decided to implement his own version of it on the
PDP-1.
3.Question
What is the significance of design in large-scale software
projects according to Deutsch?
Answer:Deutsch emphasizes that with larger software
projects, the design of the data structures becomes
increasingly important, and one’s focus should shift towards
defining interfaces between different parts of the software.
4.Question
In what way does Deutsch believe intuition plays a role in
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programming?
Answer:Deutsch views intuition as a powerful subconscious
process that synthesizes solutions from past experiences and
knowledge. He suggests that as he has distanced himself
from active programming, he finds his intuition less reliable.
5.Question
What are the 'Seven Fallacies of Distributed Computing'
that Deutsch is known for?
Answer:Deutsch authored the 'Seven Fallacies of Distributed
Computing,' which highlight common misconceptions
software engineers hold about distributed systems,
emphasizing the need for sound reasoning about distributed
architecture.
6.Question
What motivated Deutsch's transition from programming
to musical composition?
Answer:After years of working on Ghostscript and feeling
burned out by its demands, Deutsch had an epiphany during a
visit to a museum in Vienna. He realized that his passion had
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shifted away from software, leading to his decision to pursue
music composition as a more fulfilling artistic outlet.
7.Question
How does Deutsch perceive the relationship between
programming and contemporary computing practices?
Answer:Deutsch expresses skepticism towards contemporary
programming, highlighting that many software practices have
not significantly improved in the last 30 years. He believes
many programming languages still embody outdated
concepts, particularly the idea of pointers, which detracts
from the quality of software.
8.Question
What does Deutsch argue about the evolution of software
languages and practices?
Answer:He argues that despite advancements, programming
languages like Python, Java, and Smalltalk still inherently
suffer from fundamental issues related to their design, similar
to languages from decades ago. He suggests that many of
today's programming practices lack the rigor and depth seen
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in established mathematical or engineering disciplines.
9.Question
What defines a good programmer according to Deutsch?
Answer:Deutsch identifies that a good programmer possesses
a natural affinity for working with abstract symbols and has
an innate ability to understand and manipulate complex
systems. He believes those comfortable in the 'symbolic
world' are better suited for programming.
10.Question
What were some influential figures in Deutsch's early
career?
Answer:Two key figures in Deutsch's career were Calvin
Mooers, who collaborated with him on programming
languages, and Danny Bobrow, who served as a mentor
throughout his career. Both had a substantial impact on his
development as a programmer.
11.Question
What does Deutsch believe is necessary for programming
to be more effective?
Answer:Deutsch argues for the need to adopt better
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declarative notations and mechanisms that can allow
developers to describe complex interactions and structures in
software that align with their intentions, as opposed to
relying purely on procedural or imperative constructs.
12.Question
How does Deutsch differentiate between 'coders' and
'programmers'?
Answer:Deutsch feels that the term 'coder' is too narrowly
focused and equates it to a lower-level role in the software
development process. Instead, he prefers the term 'software
developer' which encompasses a broader range of activities,
including architecture and coding.
13.Question
What does Deutsch think about the internet's evolution
and the corporate influence over it?
Answer:Deutsch expresses a disillusionment regarding the
evolution of the Internet, noting that he initially believed it to
be uncontrollable. However, he sees the rise of corporate
power—particularly from entities like Microsoft—as a
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significant factor that shapes its current trajectory and
diminishes its original potential.
Chapter 12 | Ken Thompson| Q&A
1.Question
What drives you to work on projects, and what keeps you
motivated during the process?
Answer:I'm driven by passion. When my family is
away, I find myself working on projects without the
constraints of a traditional schedule. I don't feel
stress from deadlines, as I thrive on excitement and
the intrinsic fun of programming. I prefer when I
can choose what I want to work on, which keeps my
enthusiasm alive.
2.Question
Is there anything you would have done differently in your
programming journey?
Answer:If I could go back, I would have taken typing classes
in high school to improve my skills. I also wish I had taken
more advanced math courses earlier in life, as they would
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have been beneficial later on. However, I don’t think I would
fundamentally change my free-spirited approach to my
career.
3.Question
How do you approach writing code — do you plan it out
extensively or dive in?
Answer:For most projects, I think about the structure in my
mind rather than writing extensive plans on paper. I focus on
how to handle the hard parts first and let the easy ones come
naturally. Instead of rigidly following a plan, I’m flexible and
willing to adapt as I code.
4.Question
What are your thoughts on modern programming
languages and approaches?
Answer:Modern programming often feels overwhelming due
to an excessive layering of code abstractions. It can be
difficult to grasp the bigger picture when the code is written
to be read top-down, as opposed to a more structured,
bottom-up approach. Simplicity remains key, and I often find
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complex code is unnecessary.
5.Question
Can you share an important lesson you've learned from
debugging?
Answer:I rely heavily on printing values while developing —
this gives me immediate visibility into the system's state and
helps me identify problems quickly. Once I debug
sufficiently, I comment out unnecessary prints. I’ve learned
that you can feel your way through a program, adjusting as
necessary, rather than rigidly sticking to an initial plan.
6.Question
What traits do you look for in talented programmers?
Answer:Enthusiasm stands out as a key trait. When I
interview programmers, I ask them about their most
interesting projects. Their ability to discuss and defend the
algorithms they’ve used speaks volumes about their
capability. Passion is typically evident when they talk about
their work.
7.Question
How has your experience at Google compared to your
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past roles at places like Bell Labs?
Answer:Working at Google has its challenges due to the
immense scale of projects and the necessity of ensuring
reliability as complexity increases. Unlike Bell Labs, where I
had immense freedom, at Google, I often deal with the high
pressure of ensuring consistent performance across unreliable
systems.
8.Question
What are your feelings towards programming languages
like C++ versus your preference for C?
Answer:While C++ has its merits, I find it overly complex
and bogged down with features that dilute its effectiveness. I
prefer C for its simplicity and clarity. C++ often complicates
straightforward programming tasks with an excess of
options.
9.Question
Looking back, what do you think of the evolution of
computer science education?
Answer:I find it alarming that many current computer
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science graduates lack a foundational understanding of how
computers work at a fundamental level. There’s a dangerous
disconnect from the underlying computing theory, as many
focus solely on high-level abstractions without grasping the
real mechanics of the machines.
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Chapter 13 | Fran Allen| Q&A
1.Question
How did Fran Allen's initial career plans change after
taking a job at IBM?
Answer:Fran Allen initially planned to become a
math teacher but accepted a job as a programmer at
IBM to pay off student loans. This job, intended to
be temporary, transformed into a 45-year career in
computing, where she made significant
contributions to compiler technology.
2.Question
What pioneering contributions did Fran Allen make
during her career?
Answer:Fran Allen worked on optimizing compiler
techniques, contributing to the development of the Static
Single Assignment (SSA) representation and leading the
PTRAN project for automatic parallelization of Fortran
programs, which are now foundational in compiler design.
3.Question
How did Allen's early education shape her career in
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computer science?
Answer:Allen studied mathematics and physics at the
University of Michigan, where she first encountered
computing. The early exposure to programming on an IBM
650 helped her transition into a field that was just emerging,
allowing her to become a leader in compiler optimization.
4.Question
What challenges did Allen face in a male-dominated
field?
Answer:After initially being part of a diverse group of
women in computing at IBM, Allen witnessed a significant
shift in the industry during the late 1960s, where women's
participation dwindled. She later experienced a glass ceiling
and formal management structures that limited opportunities
for women.
5.Question
What does Fran Allen say about the importance of
diversity in computing?
Answer:Fran Allen emphasizes that diverse teams produce
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better results because they bring different perspectives, which
is crucial for creating technology that serves everyone in
society. She believes that increasing the number of women in
computing leads to more innovative solutions.
6.Question
In what way did Allen contribute to the normalization of
women in technical leadership roles?
Answer:By becoming the first female recipient of the Turing
Award and an IBM Fellow, Fran Allen set a precedent for
women in technical leadership roles, demonstrating that
women can excel in high-performance computing and
compiler design.
7.Question
What does Fran Allen think about the future of
computing in relation to diversity?
Answer:She is hopeful about the future of computing,
asserting that a diverse group of individuals will enable
technology to be more accessible and relevant to different
societal needs, which is critical for the advancement of the
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field.
8.Question
How did Fran Allen's transition from programming to
management reflect her interests and capabilities?
Answer:Despite starting as a programmer, Allen found her
true passion in understanding systems architecture and
leading teams, enabling her to influence the direction of key
projects like PTRAN without being bogged down by minute
coding details.
9.Question
What role did collaboration play in Allen's work on
projects like the PTRAN compiler?
Answer:Collaboration was essential; Allen encouraged
diverse ideas and teamwork, believing that combining
theoretical work with practical implementation resulted in a
stronger and more innovative development process.
10.Question
What impact does Fran Allen believe newer
programming languages have on computer science
education?
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Answer:Allen warns that languages like C overspecify
solutions and may hinder advancements in automatic
optimization and compiler design, resulting in a gap in
computer science education and understanding today.
11.Question
What perspective does Fran Allen have on the integration
of academia and industry?
Answer:Allen sees great value in the collaboration between
academia and industry, as both domains contribute
significantly to the development of new technologies and
solutions, ultimately driving innovation.
12.Question
What does Fran Allen mean by ‘exploring’ in the context
of her career?
Answer:For Allen, 'exploring' encapsulates her approach to
work, focusing on discovering new ideas, solving
challenging problems, and engaging with diverse individuals
throughout her journey in computer science.
Chapter 14 | Bernie Cosell| Q&A
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1.Question
How did your high school experience shape your
approach to programming?
Answer:I learned to debug and work with
computers as a teenager in high school, notably at
Bronx High School of Science, where we had access
to an IBM 1620. This early exposure made me
realize the importance of learning through practice
and developing problem-solving skills.
2.Question
What inspired you to drop out and start working at BBN?
Answer:I hated the pressure of MIT and found BBN to be a
much better environment; it felt like home. The laid-back
culture and the opportunity to work on exciting projects lured
me away from formal education.
3.Question
What principles guided your programming style at BBN?
Answer:I believed in writing clear and readable code,
thinking through problems deeply without accepting
complexity as the default. My rule was that very few
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programs are inherently hard; clear understanding leads to
easier solutions.
4.Question
How did you maintain a balance between simplicity and
performance in your code?
Answer:I advised to first write code that was clear and
understandable. We could always optimize it later if
performance issues arose, focusing on clarity first to ensure
maintainability.
5.Question
What role did mentorship and collaboration play in your
development as a programmer?
Answer:While I lacked formal mentoring, I absorbed
knowledge from those around me, creating an environment
where everyone helped each other grow. The collaborative
spirit at BBN fostered learning and innovation.
6.Question
How has the evolution of programming languages
influenced coding practices?
Answer:Modern programming languages present more
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abstraction, which can lead to less understanding of the
underlying mechanics. The depth of knowledge required has
shifted, making it harder for one to grasp the entirety of the
software being built.
7.Question
What would be your advice for self-taught programmers?
Answer:Write a lot of programs—practice is key. Learning
through doing is invaluable. It teaches you about the
interactions between different pieces of code and helps you
understand best practices.
8.Question
How do you recognize and hire talented programmers?
Answer:I look for curiosity, a broad interest in various topics,
and the ability to problem-solve. The intuitive approach is
essential; I assess their mindset and how they think about
programming tasks.
9.Question
Do you believe programming is a young person's game?
Answer:To some extent, yes. Younger programmers often
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have the energy and mental agility to tackle the rapidly
changing tech landscape but combining that with experience
and wisdom creates the best results.
10.Question
What do you think is the biggest programming challenge
today?
Answer:The increasing complexity of systems and the need
to manage intricate libraries and frameworks. This makes it
tougher for programmers to maintain clarity and understand
the full picture of their code.
11.Question
How should programmers approach debugging legacy
code?
Answer:Take a step back to understand what the code is
supposed to do and fix it from there. If something doesn't
make sense, don’t be afraid to rewrite sections to make it
clearer.
12.Question
How do you view the relationship between programming
and artistry?
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Answer:Programming involves art in organizing code,
structuring programs, and ensuring clarity for future
developers. Elegant solutions lead to more maintainable and
adaptable software.
13.Question
What advice would you give to new programmers
regarding best practices?
Answer:Focus on clarity and readability in your code and
write documentation that helps future programmers
understand your intentions. Avoid overcomplicating
solutions and always strive for clean, understandable code.
14.Question
What led to your success as a master debugger?
Answer:My belief in understanding the program completely,
developing an intuition for its workings, and having the
confidence to approach complex issues led to my
troubleshooting reputation.
Chapter 15 | Donald Knuth| Q&A
1.Question
What inspired you to initially start programming?
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Answer:During my freshman year at Case Institute
of Technology in 1956, I was fascinated by the IBM
650 computer we got. I began working in the
statistics lab, sorting cards and tabulating data. The
allure of that machine with its flashing lights drew
me in, and after discovering the manuals, I felt an
urge to improve upon the sample programs I found,
which started my journey into programming.
2.Question
How did you uncover your talent for programming?
Answer:After making modifications to a program and
realizing they worked, I thought, 'Wow, I can do better than
this manual program!' It was a surprise that I had a knack for
it, highlighting how just the exposure to hands-on
programming can reveal latent skills.
3.Question
Why do you advocate for literate programming?
Answer:Literate programming allows for a clearer
communication of ideas. It integrates natural language
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explanations with code, enabling a reader to understand how
to approach a problem and how the solution was constructed,
rather than having the code exist in isolation.
4.Question
What do you believe is a crucial error made by scientists
and educators in teaching programming?
Answer:Many educators focus too much on theoretical
concepts without showing students the hands-on, practical
aspects of programming. They forget that real understanding
comes from experiencing all levels of a subject, not just the
high-level theories.
5.Question
How has writing TeX impacted your programming and
book-writing style?
Answer:Working on TeX for ten years fundamentally
changed how I thought about programming. I gained insights
into structured programming, improved my skills, and
learned to document code in a way that makes it
understandable—not just to others, but importantly to myself
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over time.
6.Question
How can programmers improve their debugging
techniques?
Answer:I often include sanity checks in my code to ensure
that my data structures are functioning correctly, catching
potential errors long before they cause crashes. Also,
iteratively testing smaller parts of a program through
structured experimentation—like my exhaustive tests with
multiplication—leads to robust and reliable code.
7.Question
Do you think programmers are aware of the importance
of historical algorithms and techniques?
Answer:No, many modern programmers overlook the rich
history of algorithms and techniques that have evolved over
the decades. Understanding and studying the context in
which these ideas were developed can greatly enhance one's
own programming intuition and skill.
8.Question
What is one lesson you've learned from writing and
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debugging software?
Answer:The complexity of programming tasks often leads to
unexpected bugs; hence embracing the iterative process of
debugging, where one tests and refines systematically, is
essential. It's a skill that grows stronger the more you apply
it.
9.Question
What do you consider necessary for a programmer's
continuous learning?
Answer:A continual desire to understand and explore original
source material and the works of past scholars is crucial.
Tapping into the knowledge laid out in those original
manuscripts or algorithms can lead to significant
advancements in one's own programming abilities.
10.Question
How do you suggest programmers should approach
reading others' code?
Answer:Approach it like a puzzle; try to decode the author's
thought process. Analyzing the structure, comments, and
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strategy used in their coding can greatly enhance your
understanding and development of your coding style.
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Chapter 16 | Appendix A: Bibliography| Q&A
1.Question
What is the significance of Donald Knuth's work in
programming?
Answer:Donald Knuth's work, particularly 'The Art
of Computer Programming', laid the foundational
principles of algorithms and data structures,
revolutionizing how programming is taught and
understood. He emphasizes the need for clear
notation, efficient algorithms, and the joy of
programming, making his contributions timeless
and essential for both beginners and experts.
2.Question
How does 'Code Complete' by Steve McConnell enhance
developers' understanding of programming?
Answer:'Code Complete' is significant because it bridges the
gap between theoretical knowledge and practical coding. It
advocates for best practices in software construction,
explaining concepts such as error detection, code reviews,
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and the craft of programming, which helps developers write
better, more maintainable code.
3.Question
What lessons can be drawn from 'The Mythical
Man-Month' by Frederick Brooks regarding project
management?
Answer:Frederick Brooks' 'The Mythical Man-Month'
teaches critical lessons about the complexities of software
project management, such as the fallacy of adding more
manpower to lagging projects, which often leads to further
delays. It highlights the importance of planning,
communication, and understanding that software
development is inherently challenging.
4.Question
Why is 'Structure and Interpretation of Computer
Programs' considered a classic in computer science
education?
Answer:This book is revered for its deep dive into the
principles of programming languages and software
engineering, using Scheme to illustrate concepts. It's not just
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about syntax; it teaches students to think like programmers,
making it a must-read for anyone serious about
understanding computative logic and design.
5.Question
How does the concept of 'Design Patterns' influence
modern software development?
Answer:'Design Patterns' by Gamma et al. introduced
programmers to reusable solutions to common problems in
software design. This has allowed developers to
communicate more effectively and efficiently, fostering
collaboration and speeding up the development process by
using established best practices.
6.Question
What impact has 'Java Concurrency in Practice' had on
multi-threaded programming?
Answer:Written by experts like Brian Goetz, 'Java
Concurrency in Practice' has become an essential reference
for understanding the complexities of multi-threaded
programming. It provides guidelines for writing concurrent
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programs that are correct and efficient, helping developers
manage the challenges inherent in modern multi-core
systems.
7.Question
What is the essence of Eric Gamma's and his co-authors'
influence on object-oriented design?
Answer:Eric Gamma's work has brought attention to the
importance of design patterns in object-oriented
programming. Their insights empower developers to create
systems that are flexible, reusable, and easier to maintain,
transforming how software architecture is conceived and
implemented.
8.Question
How does 'Zen and the Art of Motorcycle Maintenance'
relate to programming?
Answer:Though not a programming book, Robert Pirsig’s
'Zen and the Art of Motorcycle Maintenance' explores quality
and values, which resonate with the craft of programming. It
emphasizes the importance of understanding the deeper
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aesthetics of code, encouraging programmers to appreciate
not just functionality but also the beauty of their work.
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Coders At Work Quiz and Test
Check the Correct Answer on Bookey Website
Chapter 1 | Jamie Zawinski| Quiz and Test
1.Jamie Zawinski spent nearly a decade immersed in
Lisp and AI, leading significant projects including
Lucid Emacs.
2.Zawinski transitioned to manage a nightclub in San
Francisco due to his love for music, not because of
disillusionment with Mozilla.
3.Zawinski believes that curiosity and a hands-on approach
are essential for learning programming.
Chapter 2 | Brad Fitzpatrick| Quiz and Test
1.Brad Fitzpatrick started programming at the age
of five on an Apple II clone.
2.Fitzpatrick's early CS classes were highly engaging and
aligned with real-world applications.
3.Fitzpatrick believes that genuine curiosity is essential for
true learning in programming.
Chapter 3 | Douglas Crockford| Quiz and Test
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1.Douglas Crockford is known for advocating the
use of complex features in JavaScript to maximize
its potential.
2.Crockford believes that programming languages should
evolve toward simplicity and should communicate
effectively with humans.
3.Crockford invented XML as a standard for data exchange
in Ajax applications.
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Chapter 4 | Brendan Eich| Quiz and Test
1.Brendan Eich created JavaScript while working
under time constraints at Netscape.
2.Eich believes that programming should focus solely on
theoretical learning without practical application.
3.JavaScript was designed with influences only from Java
and not from other programming languages.
Chapter 5 | Joshua Bloch| Quiz and Test
1.Joshua Bloch was the Chief Java Architect at
Microsoft.
2.Joshua Bloch emphasizes the importance of readability and
quality in programming.
3.Bloch believes that programming is solely about technical
skills and does not require interpersonal skills.
Chapter 6 | Joe Armstrong| Quiz and Test
1.Joe Armstrong created the programming language
Erlang specifically for creating highly reliable
software.
2.Joe Armstrong advocated for implicit parallelism over
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explicit declarations of process and concurrency
management in programming.
3.Armstrong believes that a program is complete only after
adequate documentation has been provided.
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Chapter 7 | Simon Peyton Jones| Quiz and Test
1.Simon Peyton Jones is a key contributor to the
Java programming language.
2.Simon Peyton Jones believes that functional programming
has the potential to integrate into mainstream practices.
3.Simon Peyton Jones has a formal computer science degree
from Cambridge University.
Chapter 8 | Peter Norvig| Quiz and Test
1.Peter Norvig believes that soft skills such as
teamwork and customer interaction are important
in industrial programming settings.
2.Norvig initially majored in computer science during his
undergraduate studies.
3.Norvig criticizes overly rigid design processes and
advocates for flexibility in software development.
Chapter 9 | Guy Steele| Quiz and Test
1.Guy Steele has a diverse history in programming
languages including Lisp, Java, and Fortress.
2.Guy Steele's first significant encounter with programming
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was through discovering a DEC PDP-10 computer in high
school.
3.Steele believes that formal proofs of correctness are always
effective and free from challenges in maintaining program
correctness.
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Chapter 10 | Dan Ingalls| Quiz and Test
1.Dan Ingalls was never involved in the development
of Smalltalk.
2.Ingalls believes that interactive programming environments
enhance learning and creativity.
3.Ingalls thinks maintaining focus on programming is more
important than balancing life responsibilities.
Chapter 11 | L Peter Deutsch| Quiz and Test
1.Peter Deutsch began programming at the age of 11
after his father brought home a memo about
design calculations for the Cambridge Electron
Accelerator.
2.Peter Deutsch transitioned to a career in music in 2002,
completely leaving programming behind.
3.Peter Deutsch believes that the state of programming
languages has significantly improved in the last few
decades.
Chapter 12 | Ken Thompson| Quiz and Test
1.Ken Thompson was pivotal in the development of
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Unix and the B programming language, which
later evolved into C.
2.Ken Thompson views modern programming practices
positively, appreciating their complexity and abstraction.
3.Ken Thompson believes that foundational knowledge is
increasingly important for new programmers.
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Chapter 13 | Fran Allen| Quiz and Test
1.Fran Allen was the first female recipient of the
Turing Award, awarded in 2002.
2.Fran Allen originally intended to work in programming but
ended up teaching math.
3.The Static Single Assignment (SSA) intermediate
representation developed by Fran Allen is no longer in use
today.
Chapter 14 | Bernie Cosell| Quiz and Test
1.Bernie Cosell was a significant figure in the early
development of ARPANET, which is a precursor to
the Internet.
2.Cosell believes that most programs are very complicated
and should be optimized heavily for performance.
3.Bernie Cosell has a preference for using the C
programming language due to its simplicity.
Chapter 15 | Donald Knuth| Quiz and Test
1.Donald Knuth's primary work is titled 'The Art of
Computer Science'.
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2.Knuth advocates for hands-on experience in programming
over purely theoretical learning.
3.Knuth invented the programming language COBOL during
his early career.
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Chapter 16 | Appendix A: Bibliography| Quiz and
Test
1.The bibliography in "Coders At Work" only
includes works by contemporary authors.
2."The Mythical Man-Month" is a notable work mentioned in
the bibliography section.
3.All works listed in the bibliography focus solely on
programming languages.
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