doocs/leetcode

doocs/leetcode is a massive open-source collection of solutions to coding interview problems, with each problem solved in multiple programming languages. LeetCode is a popular platform that hosts thousands of algorithmic challenges frequently used by companies like Google, Amazon, and Meta when hiring engineers. The challenge for learners is that a single solution in one language is not enough, understanding how the same logic looks in Python versus Java versus Go deepens comprehension. This project provides exactly that: carefully written solutions in Java, Python, C++, Go, TypeScript, Rust, and more. The repository covers not only standard LeetCode problems but also problems from two well-known Chinese programming interview books, as well as a collection of competition problems from timed LeetCode contests. Each solution is organized by problem number and includes a README explaining the approach. The project also has dedicated sections focused on specific topics like JavaScript, database queries, and common algorithm patterns such as dynamic programming, binary search, sliding window, and graph traversal. The README is written primarily in Chinese, with an English version available. The project is maintained as a community effort, with regular updates as new problems are added to LeetCode and new contributors submit solutions. A software engineer preparing for technical interviews, a student learning algorithms, or a developer who wants to see how a particular problem is solved in their preferred language would use this repository. The primary language is Java, but the repo genuinely covers a wide range of languages. No special runtime is needed beyond having the relevant language installed on your machine.