This repository contains a collection of Python implementations of classic algorithms covered in the Algorithms Illuminated book series (better known as the Stanford Algorithms MOOC). So far, I am building correctness and (where applicable for comparisons) efficiency test cases for each algorithm or pulling test cases from the following repository: https://github.com/beaunus/stanford-algs
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
Truly a developer’s best friend. Scout APM is great for developers who want to find and fix performance issues in their applications. With Scout, we'll take care of the bugs so you can focus on building great things 🚀.
Any real stories about successful coding boot camp graduates here?
1 project | reddit.com/r/codingbootcamp | 20 Sep 2022
Idea for graduation project
1 project | reddit.com/r/iOSProgramming | 19 Sep 2022
GitHub - gmamaladze/trienet: .NET Implementations of Trie Data Structures for Substring Search, Auto-completion and Intelli-sense. Includes: patricia trie, suffix trie and a trie implementation using Ukkonen's algorithm.
1 project | reddit.com/r/dotnet | 18 Sep 2022
Best Free Resources to Practice Leetcode Effectively!
1 project | dev.to | 13 Sep 2022
I'm a self-taught iOS dev with 3apps in the AppStore but I am still unable to answer these kinds of questions in interviews.
1 project | reddit.com/r/iOSProgramming | 12 Sep 2022