|8 days ago||over 1 year ago|
|MIT License||MIT License|
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How useful is knowledge of data structures and algorithms and how to learn them best?
1 project | reddit.com/r/datascience | 5 Jun 2021
I think it is important if you are building tools but less so for applying them. Most DS/DA tools abstract away all the implementation details where the type of knowledge from a typical DS&A course matters. For learning, I LOVE Tim Roughgarden's lectures and book series. For me, they hit a great balance between intuition and depth. His book only provides pseudo-code, but I've implemented all of the problems with test cases in Python if that would help (as have many others if you Google for it). https://github.com/andrewdoss/algorithms_illuminated
What are some alternatives?
algoexpert-data-structures-algorithms - A collection of solutions for all problem statements on the AlgoExpert Coding Interview platform.
algorithms - Minimal examples of data structures and algorithms in Python
the-littlest-jupyterhub - Simple JupyterHub distribution for 1-100 users on a single server
Basic-Algorithms - Basic algorithms and data structures written in different programming languages
threeXYZgraphing - 3d xyz graphing using threejs
leetcode-solutions - 🌳 Solutions for some of Leetcode coding problems sorted by topics
TheAlgorithms - All Algorithms implemented in Python
python-leetcode - python client for leetcode api
ecs154a-winter20 - Course files for ECS 154A in Winter Quarter 2020.