👍
Perfect
Neeche Python ke BASIC → INTERMEDIATE → ADVANCED topics ko bohot detail + clean
structure mein diya hai.
Isko syllabus + roadmap samajh ke follow karo.
🐍 PYTHON TOPICS – BASIC →
INTERMEDIATE → ADVANCED (IN DETAIL)
🟢 BASIC PYTHON (FOUNDATION)
Goal: Syntax samajhna, simple programs likhna, confidence banana
1️⃣ Python Basics
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What is Python?
Python vs other languages
Python interpreter
Running Python code
Indentation (VERY IMPORTANT)
2️⃣ Variables & Data Types
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Variables
Dynamic typing
int, float, bool
str
type()
3️⃣ Input / Output
● input()
● print()
● Formatting output
4️⃣ Operators
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Arithmetic
Comparison
Logical
Assignment
Membership (in)
● Identity (is)
5️⃣ Control Flow
● if / elif / else
● Nested conditions
6️⃣ Loops
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for loop
while loop
range()
break, continue, pass
7️⃣ Strings (Basics)
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Indexing
Slicing
String methods
f-strings
8️⃣ Lists
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Create lists
Indexing
Slicing
append, insert, remove
List iteration
9️⃣ Tuples
● Immutability
● Packing / unpacking
🔟 Sets
● Unique elements
● Union, intersection, difference
1️⃣1️⃣ Dictionaries
● Key-value pairs
● Access / update
● dict methods
1️⃣2️⃣ Functions (Basic)
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def
return
Parameters & arguments
Scope (local / global)
1️⃣3️⃣ Basic Error Handling
● Syntax errors
● Runtime errors
🟡 INTERMEDIATE PYTHON (REAL SKILL STARTS)
Goal: Reusable code, real-world logic, structured programs
1️⃣ Functions (Deep)
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Default arguments
Keyword arguments
*args
**kwargs
Lambda functions
2️⃣ Object-Oriented Programming (OOP)
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class & object
init
Instance vs class variables
Methods
Inheritance
Polymorphism
Encapsulation
Composition
3️⃣ Modules & Packages
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import styles
Creating modules
name == "main"
Virtual environments
pip
4️⃣ File Handling
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Read / write files
CSV files
JSON files
with statement
5️⃣ Exception Handling
● try / except
● else / finally
● Custom exceptions
● raise
6️⃣ List / Dict Comprehensions
● Cleaner loops
● Nested comprehensions
7️⃣ Iterators & Generators (Intro)
● Iterables
● yield
● Generator expressions
8️⃣ Standard Library (Important)
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math
random
datetime
os
sys
collections
9️⃣ Basic Debugging
● Reading errors
● print debugging
● traceback understanding
🔟 Simple Projects
● Calculator
● To-do app
● File organizer
● Simple API script
🔵 ADVANCED PYTHON (MASTERY LEVEL)
Goal: Performance, scalability, internals, professional code
1️⃣ Advanced OOP
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Magic methods (str, repr)
Multiple inheritance
MRO
Dataclasses
Abstract base classes
2️⃣ Decorators (VERY IMPORTANT)
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Function decorators
Decorators with arguments
Class decorators
Real-world use cases
3️⃣ Context Managers
● with statement deep dive
● enter / exit
● Custom context managers
4️⃣ Iterators & Generators (Deep)
● Iterator protocol
● Memory efficiency
● Lazy evaluation
5️⃣ Functional Programming
● map, filter, reduce
● functools
● Partial functions
6️⃣ Memory Management
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Stack vs heap
Reference counting
Garbage collection
Mutable vs immutable
Shallow vs deep copy
7️⃣ Concurrency & Parallelism
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threading
multiprocessing
GIL
asyncio
async / await
8️⃣ Performance Optimization
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Big-O
Profiling (cProfile)
Optimizing Python code
When Python is slow
9️⃣ Testing
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unittest
pytest
Mocking
TDD basics
🔟 Type Hints & Clean Code
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typing module
mypy
PEP8
Clean architecture
1️⃣1️⃣ Packaging & Distribution
● setup.py
● Building libraries
● Publishing packages
1️⃣2️⃣ Advanced Projects
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REST API (FastAPI)
Background workers
Web scraping at scale
Automation pipelines
Mini SaaS backend
🧠 LEVEL CHECK (SELF TEST)
Basic:
✔ Can write small scripts
✔ Understand loops, functions
Intermediate:
✔ Build small apps
✔ Use OOP & files
Advanced:
✔ Design systems
✔ Optimize & scale code
🏆 FINAL TRUTH
Python mastery ≠ knowing syntax
Python mastery = thinking, designing, debugging, optimizing
🔥 NEXT STEP OPTIONS
I can:
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Make daily study schedule
Give best resources for each topic
Create project-based roadmap
Prepare interview-focused syllabus
Bas batao, next kya chahiye
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