Guide · Open source
How to use LeetCode-Go: clone, build and study Go solutions
Updated · written with AI from the project's own documentation and checked against our catalogue data
LeetCode-Go is an open-source collection of Go solutions to LeetCode algorithm problems, organized by data structure and algorithm topic, under the MIT licence. It is aimed at developers and students who already know some algorithms and want worked Go examples. After this guide you will know how to get the repository, what you need installed, and how to use the code and the companion e-book.
LeetCode in Gohalfrost/LeetCode-Go · ★ 33.8k · MIT Install options & downloads Quick start
- 1Check your Go install. Confirm Go is installed and working on your machine before you start.
- 2Clone the repository. Run git clone https://github.com/halfrost/LeetCode-Go.git in a terminal.
- 3Pick a topic. Choose a data structure or algorithm from the README lists, starting with one you are studying.
- 4Read the matching explanation. Open the same topic in the LeetCode Cookbook online or in the PDF for the explanation.
- 5Solve, then compare. Attempt the LeetCode problem yourself, then compare your code with the repository solution.
What you need before you start
The project is written in Go, so the main prerequisite is a working Go installation. The README does not specify a Go version, so check the repository's own go.mod file for the version it targets.
The README assumes you already understand algorithms and data structures. If you are new to programming, start with the explanations in the e-book before reading the code.
- Go installed on your machine
- Git, to clone the repository
- Basic familiarity with algorithms and data structures
Clone the repository
The install method is clone-and-build. Run the clone command from a terminal to download the full repository, including the solution code and the website sources.
git clone https://github.com/halfrost/LeetCode-Go.gitHow the solutions are organized
The README groups material into two main lists: Data Structures (such as Array, String, Tree, Hash Table, Union Find, Sliding Window and Segment Tree) and Algorithm (such as Sorting, Dynamic programming, Greedy and Backtracking). Topics marked with a check mark have all their problems completed.
Use the topic list to find a subject, then work through the problems under it. Each topic also has tables that link related problems and articles.
- Browse by data structure to practise a specific type of problem
- Browse by algorithm to practise a technique such as backtracking or dynamic programming
- Check the completion marks to see which topics are fully covered
Read the LeetCode Cookbook alongside the code
The author publishes the material as the LeetCode Cookbook e-book. It can be read online as a Progressive Web App with Dark Mode support, or downloaded as an offline PDF from the project's releases page. The PWA can be added to a home screen from an iOS or Android browser.
The README says the solutions follow the Google Golang Style Guide and that the project reports 100% test coverage, so you can read the code as a reference for idiomatic Go.
- Online reading: books.halfrost.com/leetcode
- Offline: PDF from the GitHub releases page
- Mobile: install the PWA to your home screen
Compare your solution with the worked one
A practical way to use the repo is to solve a problem on LeetCode first, then open the matching topic in this repository and compare your approach. Look at how the author structures the function, names variables and handles edge cases.
Because this is reference code rather than an application, the value comes from reading and comparing, not from running a program.
- Solve the problem yourself first
- Open the matching topic folder or section
- Compare approach, naming and edge-case handling
What people use it for
- Practising LeetCode problems in Go before a technical interview
- Studying how idiomatic Go is written for algorithm code
- Reviewing topic-by-topic explanations alongside working code
- Learning Go syntax through small algorithm solutions
Frequently asked questions
Is LeetCode-Go free to use?
The code is licensed under the MIT licence, according to the project's listed licence. The e-book has a separate Book License shown in the README as CC. Check the LICENSE file in the repository for the exact terms.
What do I need to install to use LeetCode-Go?
You need Go installed and Git to clone the repository. The install method is clone-and-build, starting with git clone https://github.com/halfrost/LeetCode-Go.git.
Is LeetCode-Go good for beginners?
Not really. The README assumes familiarity with algorithms and data structures, so complete beginners to programming will find it hard. It suits developers who already know the basics and want Go examples.
Does LeetCode-Go have solutions in Python or Java?
No. This repository contains Go solutions only. For other languages, you would need a different LeetCode solutions collection.
Is LeetCode-Go an app I can run?
No. The project is a set of solution code and reading material, not a tool or application to run. You read and compare the code rather than launch it.
How does LeetCode-Go compare with neetcode?
Both help with LeetCode practice, but this repository is a Go-only set of solutions with topic-by-topic explanations and an e-book. Neetcode is a separate project and this guide does not compare their features in detail, so review each one against your needs.
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Our verdict
LeetCode-Go is a good choice if you already know algorithms and want to study worked, well-tested Go solutions organised by topic. Pick something else if you are new to programming, want solutions in another language, or need a tool you can run.
Install options & downloads