Git Product home page Git Product logo

notebook's Introduction

Jupyter Notebook

Google Group Build Status Documentation Status

The Jupyter notebook is a web-based notebook environment for interactive computing.

Jupyter notebook example

Notice

Please note that this repository is currently maintained by a skeleton crew of maintainers from the Jupyter community. We encourage users to transition to JupyterLab, where more immediate support can occur. Our approach moving forward will be:

  1. To maintain the security of the Jupyter Notebook. That means security-related issues and pull requests are our highest priority.
  2. To address JupyterLab feature parity issues. As part of this effort, we are also working on a better notebook-only experience in JupyterLab for users who prefer the UI of the classic Jupyter Notebook.
  3. To be responsive to the hard work of community members who have opened pull requests. We are triaging these PRs. We cannot support or maintain new features at this time, but we welcome security and other sustainability fixes.

If you have an open pull request with a new feature or if you were planning to open one, please consider shipping it as a notebook extension instead.

Alternatives to contributing to notebook

Additionally, please consider whether your contribution would be appropriate for either the underlying server for Jupyter front-ends, jupyter_server or in the JupyterLab front-end.

Jupyter notebook, the language-agnostic evolution of IPython notebook

Jupyter notebook is a language-agnostic HTML notebook application for Project Jupyter. In 2015, Jupyter notebook was released as a part of The Big Split™ of the IPython codebase. IPython 3 was the last major monolithic release containing both language-agnostic code, such as the IPython notebook, and language specific code, such as the IPython kernel for Python. As computing spans across many languages, Project Jupyter will continue to develop the language-agnostic Jupyter notebook in this repo and with the help of the community develop language specific kernels which are found in their own discrete repos. [The Big Split™ announcement] [Jupyter Ascending blog post]

Installation

You can find the installation documentation for the Jupyter platform, on ReadTheDocs. The documentation for advanced usage of Jupyter notebook can be found here.

For a local installation, make sure you have pip installed and run:

$ pip install notebook

Usage - Running Jupyter notebook

Running in a local installation

Launch with:

$ jupyter notebook

Running in a remote installation

You need some configuration before starting Jupyter notebook remotely. See Running a notebook server.

Development Installation

See CONTRIBUTING.rst for how to set up a local development installation.

Contributing

If you are interested in contributing to the project, see CONTRIBUTING.rst.

Resources

notebook's People

Contributors

minrk avatar jdfreder avatar takluyver avatar carreau avatar ellisonbg avatar ivanov avatar fperez avatar gnestor avatar jasongrout avatar willingc avatar rgbkrk avatar jhamrick avatar kevin-bates avatar sylvaincorlay avatar blink1073 avatar zsailer avatar captainsafia avatar mpacer avatar ssanderson avatar parente avatar jakirkham avatar chronitis avatar joshuazeltser avatar bollwyvl avatar mgeier avatar sheshtawy avatar ashleytqy avatar ckilcrease avatar mathieu1 avatar berendjan avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.