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A collection of beginner-friendly C programming projects and exercises to learn low-level programming concepts.
An advanced, but easy-to-use, platform for writing functional applications in Java 8.
A collection of HackerRank solutions in popular programming languages for developers to learn and practice.
A community-driven repository of algorithms and data structures implemented in Ruby.
A hardware-aware guide to data structures for system software engineers.
A competitive programming library in Python with efficient algorithms and data structures.
An open-source data structures textbook with complete implementations, focused on mathematical rigor.
This is a comprehensive repository of popular competitive programming and DSA questions with solutions for interview preparation.
A comprehensive data structure library written in pure JavaScript with extensive documentation and testing.
An efficient, STL-like data structure library for GPU acceleration in C++.
A comprehensive collection of Java concepts, algorithms, and best practices for developers.
A comprehensive repository for learning and practicing data structures and algorithms in Java.
A comprehensive knowledge base for software and research engineers, covering a wide range of topics.
A collection of solved algorithms and data structures problems in many languages
A comprehensive guide to acing JavaScript, front-end, and computer science interviews.
Python supercharged for the fastai library, providing a powerful set of data structures and utilities.
M*LIB is a library of generic and type-safe data structures and containers in C, providing a STL-like experience.
This repository contains a curriculum for improving competitive programming skills in 2 months.
A collection of popular algorithms and data structures implemented in Java for learning and coding challenges.
A collection of LeetCode algorithm notes and solutions for interview preparation and learning algorithms.
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