How to master data structures and algorithms?

Zero to Hero in 5 steps!

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2 min read

1. Basics/Fundamentals -

Start with learning any language, try to use C, C++, or Java for a better understanding of concepts, As Python is an interpreted language and is slow as compared to C/C++ or Java. Unlike C or C++ it's not closer to hardware because Python is a high-level language.

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2. Logic & Mathematical Aptitude

For approaching to solve problems and analyzing algorithms, one must have great sound logical skills and aptitude skills. It is always advised to explore some important math concepts: set theory, linear algebra, permutations, and combinations.

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3. Time and Space complexity

Time and Space complexities are one of the most underrated and most useful skills one can master.

  • Time complexity is a function describing the amount of time an algorithm takes in terms of the amount of input to the algorithm

  • Space complexity is a function describing the amount of memory (space) an algorithm takes in terms of the amount of input to the algorithm.

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4 Learn the logic, not the code!

Try to implement Binary search, Insertion Sort, Merge Sort by yourself. Don't just mug up the code.

  • read the algorithm -> understand the logic -> and implement it by yourself (Better to write pseudocode before writing any code)

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5 Practice as much as you can!

There are many platforms where you can practice and excel in your DSA. Solve problems on HackerRank & Coderbyte (beginners friendly), and revise it time to time.

Once you got a good understanding of all the beginner's stuff, move on to platforms like Leetcode, Codechef & Codeforces. They have timed contests where you have to solve specific problems in a certain amount of time, the same scenario you will be going to face in coding interviews.

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