||This article contains content that is written like an advertisement. (May 2015)|
|Original author(s)||Fernando Perez|
|Stable release||3.1 / 3 April 2015|
IPython is a command shell for interactive computing in multiple programming languages, originally developed for the Python programming language, that offers enhanced introspection, rich media, additional shell syntax, tab completion, and rich history. IPython provides the following features:
- Powerful interactive shells (terminal and Qt-based).
- A browser-based notebook with support for code, text, mathematical expressions, inline plots and other rich media.
- Support for interactive data visualization and use of GUI toolkits.
- Flexible, embeddable interpreters to load into one's own projects.
- Easy to use, high performance tools for parallel computing.
IPython has a sophisticated architecture for parallel and distributed computing. IPython enables parallel applications to be developed, executed, debugged and monitored interactively. Hence, the I (Interactive) in IPython. This architecture abstracts out parallelism in a general way, which enables IPython to support many different styles of parallelism including:
- Single program, multiple data (SPMD) parallelism.
- Multiple program, multiple data (MIMD) parallelism.
- Message passing using MPI.
- Task parallelism.
- Data parallelism.
- Combinations of these approaches.
- Custom user defined approaches.
IPython Notebook is a web-based interactive computational environment for creating IPython notebooks. An IPython notebook is a JSON document containing an ordered list of input/output cells which can contain code, text, mathematics, plots and rich media.
IPython notebooks can be converted to a number of open standard output formats (HTML, HTML presentation slides, LaTeX, PDF, ReStructuredText, Markdown, Python) through 'Download As' in the web interface and 'ipython nbconvert' in a shell.
IPython Notebook provides a browser-based REPL built upon a number of popular Open Source libraries:
IPython Notebook connects to an IPython kernel. As of the 2.3 release (October 2014), there are currently over 21 IPython-compatible kernels for as many programming languages, including Python, R, Julia and Haskell.
IPython allows non-blocking interaction with Tkinter, PyGTK, PyQt/PySide and wxPython (the standard Python shell only allows interaction with Tkinter). IPython can interactively manage parallel computing clusters using asynchronous status callbacks and/or MPI. IPython can also be used as a system shell replacement. Its default behavior is largely similar to Unix shells, but it allows customization and the flexibility of executing code in a live Python environment.
In 2014, Fernado Perez announced a spin-off project from IPython called Project Jupyter. IPython would continue to exist as a Python shell and a kernel for Jupyter, while the notebook and other language-agnostic parts of IPython would move under the Jupyter name.
In the media
IPython has been mentioned in the popular computing press, and it has a presence at scientific conferences. For scientific and engineering work, it is often presented as a companion tool to matplotlib.
Grants and awards
On March 23, 2013, Fernando Perez was awarded the Free Software Foundation Advancement of Free Software award for IPython.
|This section is empty. You can help by adding to it. (May 2015)|
- The IPython notebook: a historical retrospective, January 8, 2012, Fernando Perez Blog
- Helen, Shen (2014). "Interactive notebooks: Sharing the code". Nature 515 (7525): 151–152. doi:10.1038/515151a.
- "Using IPython for Parallel computing - IPython docs".
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- Koziol, Conrad (12 September 2005). "Introducing IPython". NewsForge.
- "IPython Presentations".
- Pérez, Fernando; Granger, Brian E. (2007). "IPython: A System for Interactive Scientific Computing" (PDF). Computing in Science & Engineering 9 (3).
- "Announcement in scipy mailing list".
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- "Jolt Productivity Award write-up in Dr. Dobb's".
- Official website
- IPython Cookbook
- IPython: A unified environment for interactive data analysis
- Jones, Jeremy (27 January 2005). "Enhanced Interactive Python with IPython". ONLamp.com.
- Several presentations of IPython at Python and scientific conferences are listed at the official website.
- IPython introduction videos at showmedo
- Python for Scientific and Large Scale Computing[dead link] — a set of video tutorials from Ohio Supercomputer Center on Python, including IPython and its parallel computing capabilities.
- Project Jupyter
- "Jupyter Project". jupyter.org. Retrieved 2015-05-26.