Data structures and algorithms in Python - Part 1
Part 1 of the Python Algorithm Series (Recursion, Arrays, Stacks and Queues)
Studying Algorithms with Python
If you are software engineer, there is no question to the fact that you need to study data structures and algorithms to become a professional. I have stepped my foot into the computer science field from the machine learning side, but this doesn’t mean that I can get away without knowing them. This is just like how athletes go for a run every day. They may not be a marathon runners, but stamina is the basis of any sports, just like algorithms.
Why Python?
Setting aside the fact that I am most comfortable writing codes in Python, Python is one of the most powerful, yet accessible, programming languages in existence, and it’s very good for implementing algorithms. The language has a simple, clean syntax that will look similar to the pseudocode used in algorithms, which are not language-specific. The big advantage here is that the user can focus more on understanding and solving the algorithm versus spending a lot of time on memorizing the syntax of the languages being used.
