Project Library

A collection of 107+ most frequently asked coding interview questions and detailed solutions

A developer from New York, Raed Shomali, has opened some Go language interview questions and answers he has compiled on GitHub.

Summarizes the popularity of high-frequency LeetCode questions that are easy to examine by major Internet companies in order to help students prepare for interviews more targetedly

A domestic developer has launched a LeetCode question solution project on GitHub, which currently includes more than 900 questions.

A summary of interview resources related to data science, which includes explanations of common high-frequency questions in probability statistics, SQL and data collection, data visualization, classic machine learning algorithms, deep learning, data structures and algorithms, etc.

A must-have question bank for front-end interviews, containing over 1000 real interview questions covering HTML, CSS, JavaScript, Vue, React, Node, TypeScript, Webpack, algorithms, networks and security, browsers, and more.

A data science-related interview question, mainly divided into two parts: knowledge theory (such as linear regression, neural network, decision tree, text classification, etc.) and technical application (such as SQL, Python, algorithm, etc.) content

A collection of open-source high-frequency interview questions from large companies, based on more than 1700 real-life experiences collected from domestic and international forums, including Tencent, Alibaba, ByteDance, Shopee, Meituan, and Didi.

专业程序员修炼之路。

A curated list of awesome Kotlin related stuff Inspired by awesome-java.

There are more than 60 original articles based on LeetCode, covering all types of questions and techniques. The goal is to provide a comprehensive understanding rather than just a pile of code.

Git Common Command Reference Manual: This repo summarizes some commonly used Git commands for easy reference and use.

It collects 86 project ideas for developers to practice and refer to, including 34 junior projects, 32 intermediate projects, and 20 senior projects. Each project is accompanied by a relatively detailed project reference document.

Collects many resources related to PyTorch, such as tutorials, projects, papers, books, videos, etc., so that developers can get started with PyTorch development faster

A machine learning engineer's technical roadmap, which includes commonly used frameworks, programming languages, and practical tools related to machine learning