Check out this free interactive course "Problem Solving with Algorithms and Data Structures using Python": https://runestone.academy/ns/books/published/pythonds3/index.html See also https://github.com/tayllan/awesome-algorithms — curated list of resources to learn and/or practice algorithms More on reddit.com

Problem solving with algorithms and data structures — free interactive course GitHub: Awesome algorithms — curated list of resources to learn and/or practice algorithms More on reddit.com

I think it definitely makes sense to learn them in whatever language you feel comfortable in. The underlying concepts are important and the implementation, in whatever language, is pretty basic. Now I think many people who program for a living are in divided camps on data structures. Lots of them say you'll never use any of that stuff, so it is a bit of a waste. Others will say that they teach important concepts that you will have to understand to be a better programmer. But the concepts themselves can be executed in whatever code you want (pretty much -- if someone says they can do it in basic or assembly, they are probably full of it or crazy good, respectively). Doing it in a high level language actually makes learning the concepts more transparent, imo. Here is what I relearned it with: https://runestone.academy/ns/books/published/pythonds3/index.html The code quality is so-so, but the explanations are good. And like I said, the code itself is all pretty trivial. It's the ideas that matter. And the importance of these ideas live in the backends of everything we use, so it is important to understand, conceptually, even if you never write a linked list of your own in real life. For example, here is a double linked list lurking in functools: https://github.com/python/cpython/blob/3.11/Lib/functools.py#L525 More on reddit.com

I have been trying to find some sources that can help me with learning DSA (Data structures and algorithms ) but almost all… More on reddit.com