IPython provides a rich architecture for interactive computing with:
- A powerful interactive shell.
- A kernel for Jupyter.
- Support for interactive data visualization and use of GUI toolkits.
- Flexible, embeddable interpreters to load into your own projects.
- Easy to use, high performance tools for parallel computing.
To get started with IPython in the Jupyter Notebook, see our official example collection. Our notebook gallery is an excellent way to see the many things you can do with IPython while learning about a variety of topics, from basic programming to advanced statistics or quantum mechanics.
To learn more about IPython, you can watch our videos and screencasts, download our talks and presentations, or read our extensive documentation. IPython is open source (BSD license), and is used by a range of other projects; add your project to that list if it uses IPython as a library, and please don’t forget to cite the project.
IPython supports Python 2.7 and 3.3 or newer. Our older 1.x series supports Python 2.6 and 3.2.
Jupyter and the future of IPython¶
IPython is a growing project, with increasingly language-agnostic components. IPython 3.x was the last monolithic release of IPython, containing the notebook server, qtconsole, etc. As of IPython 4.0, the language-agnostic parts of the project: the notebook format, message protocol, qtconsole, notebook web application, etc. have moved to new projects under the name Jupyter. IPython itself is focused on interactive Python, part of which is providing a Python kernel for Jupyter.
- Book: Cyrille Rossant has published the second edition of the IPython minibook: Learning IPython for Interactive Computing and Data Visualization, for which Damian Avila was a technical reviewer. We thank Packt Publishing for donating a portion of the proceeds from this book to support IPython’s development.
- IPython/Jupyter is hiring postdocs: the project has two postdoctoral positions open at UC Berkeley.
- IPython 4.0: We are pleased to announce the availability of IPython 4.0, aka The Big Split, splitting the monolithic IPython repo into smaller subpackages.
- IPython 3.0: We are pleased to announce the availability of IPython 3.0, a major new release featuring integrated support for multiple languages, along with lots of smaller new features and bugfixes. Install it now, or read about the changes in the release notes.
- Book: Cyrille Rossant has published the IPython Interactive Computing and Visualization Cookbook, an advanced-level guide to IPython for data science, and the sequel of his previous book on IPython. We thank Packt Publishing for donating a portion of the proceeds from this book to support IPython’s development.
- O’Reilly Book: Mining the Social Web is an open source data science project and book that features nearly 130 examples with IPython Notebook and a Vagrant-powered virtual machine environment. You can preview all of the example notebooks from its GitHub repository on IPython’s Notebook Viewer here.
- Microsoft donates $100,000 to IPython: in August 2013, Microsoft contributed $100,000 to support the continued development of IPython.
- Book: Cyrille Rossant has published the first IPython-focused book: Learning IPython for Interactive Computing and Data Visualization, for which Matthias Bussonnier was a technical reviewer. We thank Packt Publishing for donating a portion of the proceeds from this book to support IPython’s development.
- FSF Award: Fernando Perez was awarded the 2012 Award for the Advancement of Free Software for the creation of IPython and his work in the Scientific Python community. More details.
- Roadmap to 1.0 and beyond: IPython 1.0 is coming mid-July 2013. See the grant which is funding the bulk of the work, as well as our roadmap for achieving the grant’s objectives. Read on for more details.
- Sloan Foundation grant: IPython has been awarded a $1.15 million grant from the Alfred P. Sloan Foundation. This will support several core developers, allowing them to focus on building the IPython Notebook into a tool for open, collaborative, reproducible scientific computing. We’ll also be bringing developers together for two sprints each year in California. See more details.
Several of the authors of IPython are connected with academic and scientific research, so it is important for us to be able to show the impact of our work in other projects and fields.
If IPython contributes to a project that leads to a scientific publication, please acknowledge this fact by citing the project. You can use this ready-made citation entry.