Showing 81-100 of 144 projects
A course project repository for computer science students at Peking University, focused on data structures and algorithms.
A comprehensive collection of Python-based data structures and algorithms for coding interviews and competitive programming.
This GitHub repository contains the source code for a book on coding interview preparation using Python.
A curated collection of data structures for the JavaScript/TypeScript language.
A Kubernetes toolkit for building distributed applications using cloud native principles
A comprehensive DSA preparation course for developers looking to ace FAANG interviews and placement preparation
A comprehensive resource for data structures, algorithms, and interview preparation in C++.
A high-performance PHP extension that provides specialized native data structures.
Next-gen compile-time-checked builder generator with named function arguments in Rust
This Go library provides a collection of fundamental algorithms and data structures for developers.
This repository contains comprehensive notes on working with the Go programming language and computer systems.
Heapless, a Rust library for static-friendly data structures that can be used in no_std environments.
This repository provides a comprehensive guide on optimizing MySQL performance and solving common database problems.
A high-performance, memory-efficient Python data analysis library for handling large datasets.
A fast B+ tree indexing structure in C for efficient storage and retrieval of billions of key-value pairs.
This is a collection of competitive programming questions and solutions focused on FAANG interviews.
A YAML templating tool that works on YAML structure instead of text, useful for DevOps workflows.
A high-performance, lock-free queue implementation in C++14 for concurrent, low-latency applications.
A Python library for studying and working with binary trees, useful for interview preparation and algorithm practice.
A collection of LeetCode solutions in Python and JavaScript for algorithm and data structure practice.
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