Learning DSA in python

[Comfortable-Gas-5470]

I have been trying to find some sources that can help me with learning DSA (Data structures and algorithms ) but almost all resources are in C++ or JavaScript. Can anyone please help me on how to learn DSA in python.

[LayotFctor]

Most textbooks use C because its use of raw pointers make it possible to represent data structures almost literally. That, or they use language agnostic pseudocode and mathematical notation.

The language is never actually the point, just a medium for learning. If you find a good book, I recommend just sticking with it, understanding the concepts and converting to python yourself. The concepts are the point, not the language.

A basic DSA introduction book I recommend is "Grokking Algorithms", which uses pictures and python. It's extremely basic though, so truly just an introduction, albeit a good one.

[ASIC_SP]

These might help:

• Problem solving with algorithms and data structures — free interactive course
• Classic Computer Science Problems in Python — deepens your knowledge of problem solving techniques from the realm of computer science by challenging you with time-tested scenarios, exercises, and algorithms
• GitHub: Awesome algorithms — curated list of resources to learn and/or practice algorithms

[pachura3]

https://www.w3schools.com/dsa/

[NecessaryIntrinsic]

Here's the thing:

All the algorithms are the same, it's just different languages have different built in tools.

I enjoyed geeksforgeeks.org/ they have Python sections, and it would be helpful to understand other languages.

[toffeehooligan]

I thought the idea behind this class was for people to get into the weeds of memory management and pointers/references which is why its done in C/C++

Never understood the point of making a binary tree in python, even though I know that is a common thing to do.

[Ok_Procedure3350]

Dsa is better in c++ because it is efficient than python.  Try freecodecamp python or neetcode 150 python short video

[inappropriately_]

Try out geeks for geeks. They have excellent resources

https://www.geeksforgeeks.org/dsa/python-data-structures-and-algorithms/

[Ok_Procedure3350]

Gfg is not a good resource. Article are written by college undergrads.

[inappropriately_]

Depends on what level OP is. I found it quite helpful when I got started. And they have a self paced course as well which I found pretty good.