# Jupyter

**Repository Path**: TheAlgorithms/Jupyter

## Basic Information

- **Project Name**: Jupyter
- **Description**: 各种 Jupyter 算法集合
- **Primary Language**: Python
- **License**: MIT
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 18
- **Forks**: 14
- **Created**: 2020-05-18
- **Last Updated**: 2025-06-14

## Categories & Tags

**Categories**: mathlibs

**Tags**: None

## README

## The Algorithms - Jupyter

![Repo size](https://img.shields.io/github/repo-size/TheAlgorithms/Jupyter)
[![Gitpod ready-to-code](https://img.shields.io/badge/Gitpod-ready--to--code-blue?logo=gitpod)](https://gitpod.io/#https://github.com/TheAlgorithms/Jupyter)
![Number of issues](https://img.shields.io/github/issues/TheAlgorithms/Jupyter?color=green)
![Number of PRs](https://img.shields.io/github/issues-pr/TheAlgorithms/Jupyter?color=green)<br>
![Latest commit](https://img.shields.io/github/last-commit/TheAlgorithms/Jupyter)
![All contributors](https://img.shields.io/github/contributors/TheAlgorithms/Jupyter)
[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/TheAlgorithms/Jupyter/master)

## Getting started

You can run and edit the algorithms or contribute to them using [Gitpod.io](https://www.gitpod.io/), a free online development environment, with a single click.

[![Open in Gitpod](https://gitpod.io/button/open-in-gitpod.svg)](http://gitpod.io/#https://github.com/TheAlgorithms/Jupyter)

## Contributing New Algorithms
	
* Make your pull requests to be **specific** and **focused**. Instead of contributing "several algorithms" all at once contribute them all one by one separately (i.e. one pull request for "Logistic Regression", another one for "K-Means", and so on).

* Every new algorithm must have:
	* **Source code** with comments and readable namings
	* **Math** being explained in README.md along with the code
	* **Jupyter demo notebook** with an example of how this new algorithm may be applied

If you're adding new **datasets** they need to be saved in the `/data` folder. CSV files are preferable. The size of the file should not be greater than `30Mb`.

## Contributing

Before removing any bug, or adding new algorithms please read our **[Contribution Guidelines](Contributing.md)** and our **[Code of Conduct](CODE_OF_CONDUCT.md)**.

## License

All the code is licensed under the [MIT License](LICENSE.md)