Why is it important to learn data structures and algorithms?
Many beginners and experienced programmers avoid learning data
structures and algorithms because it is very complicated, and they think all
of the above is useless in real life.
Data structures and algorithms play an important role in software
implementation and the recruitment process. Many students and
professionals have this question: why do these companies focus on DSA
rather than specific language/framework/tool issues?. Here’s an example:
When you ask someone to make a decision on something, a proficient
person will tell you “I choose to do X because it is better than A and B in
these aspects. I could have chosen C, but I think this Is a better choice.” We
always go with someone who has clarity and can complete tasks efficiently
and quickly, making optimum utilization of resources. The same goes with
these companies while hiring employees.
The problems these companies face are much more difficult and much larger
in scale. When solving the problems of these companies, software
developers must also make the right decisions. Therefore, answering system
design interview questions seems a bit difficult for some.
Knowledge of data structures like Hash Tables, Trees, Tries, Graphs, and
various algorithms is very helpful in effectively solving these problems.
Interviewers are more interested in understanding how candidates use these
tools to solve problems.
Just as a car mechanic needs the right tools to repair a car and make it work,
programmers need the right tools (algorithms and data structures) to make
the software work. Therefore, interviewers look for candidates who can apply
the right toolset to solve a given problem. By understanding the contrast
characteristics of one data structure and another, you can make the right
decision by choosing the right data structure to solve the problem.