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Original author(s) | Fernando Perez and others |
---|---|
Stable release | 0.13.1 / 21 October 2012; 12 years ago (2012-10-21) |
Repository | |
Operating system | Cross-platform |
Type | Shell |
License | BSD license |
Website | ipython |
IPython is an interactive shell for the Python programming language that offers enhanced introspection, additional shell syntax, tab completion and rich history.
Notebook
Since the 0.12 release, IPython provide a new rich text web interface: Notebook. Notebook is composed of two component: a JSON-based format to share python source and its rich formating and response and the web interface itself. This interface is close to Maple's and Mathematica's one and its purpose is to bring a clean and accessible interface to non developer.
Other features
IPython allows non-blocking interaction with Tkinter, GTK, Qt and wxWidgets (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 familiar to Unix shells, but it allows customization and the flexibility of executing code in a live Python environment.
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.
Grant from the Alfred P. Sloan Foundation
Beginning Jan 1, 2013, the Alfred P. Sloan Foundation is going to support iPython development for two years.
References
- Notebook's announcement- 0.12 release note
- Conrad Koziol (12 September 2005). "Introducing IPython". NewsForge.
- - IPython Presentations
- IPython: A System for Interactive Scientific Computing
- Announcement in scipy mailing list
External links
- Official website
- IPython Cookbook
- Jeremy Jones (27 January 2005). "Enhanced Interactive Python with IPython". ONLamp.com.
- Several presentations of IPython at Python and scientific conferences are listed at the Scientific Python website.
- IPython introduction videos at showmedo
- Python for Scientific and Large Scale Computing — a set of video tutorials from Ohio Supercomputer Center on Python, including IPython and its parallel computing capabilities.
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