Showing 20 of 20 projects
120+ interactive Python coding interview challenges with Anki flashcards, focusing on algorithms and data structures.
Minimal, clean, and well-documented implementations of data structures and algorithms in Python 3.
A curated collection of resources for learning and practicing algorithms, from beginner tutorials to competitive programming.
A curated collection of resources for learning and practicing algorithms, from beginner tutorials to competitive programming.
A comprehensive collection of LeetCode problem solutions in C++, Java, and Python.
A curated collection of resources for competitive programming, algorithms, and data structures.
A collection of 180+ algorithm and data structure problems implemented in C++ and Python for learning and interview preparation.
A collection of Swift solutions to LeetCode algorithm problems, following the RayWenderlich Swift style guide.
An interactive platform with 30+ Go coding challenges, AI interview simulation, and competitive leaderboards to prepare for technical interviews.
A Neovim plugin that lets you solve LeetCode problems directly within your editor.
A repository containing Stanford ACM-ICPC team notebook and lecture slides for competitive programming.
A curated collection of LeetCode algorithm solutions implemented in Swift 5, designed for technical interview preparation.
A recreational programming language designed for code golfing, inspired by J.
A curated collection of resources for learning and practicing algorithms, data structures, and competitive programming.
A Neovim plugin for competitive programming that manages testcases, downloads problems from online judges, and runs solutions.
A collection of Go solutions for problems from the Elements of Programming Interviews book.
A browser-based programming environment that introduces kids to coding through virtual robot competitions.
A C++ header-only library for debugging that prints variables of any type with auto-formatting and syntax highlighting.
A comprehensive collection of Common Lisp implementations for competitive programming algorithms and data structures.
A curated list of awesome computational geometry visualizations, libraries, and educational resources.
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