Screenshot of IPython
|Original author(s)||Fernando Perez and others|
|Stable release||1.2.1 / 24 February 2014|
IPython is a command shell for interactive computing in multiple programming languages, especially focused on the Python programming language, that offers enhanced introspection, rich media, additional shell syntax, tab completion, and rich history. IPython currently 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 ones own projects.
- Easy to use, high performance tools for parallel computing.
IPython has a sophisticated and powerful architecture for parallel and distributed computing. IPython enables all types of parallel applications to be developed, executed, debugged and monitored interactively. Hence, the I in IPython. This architecture abstracts out parallelism in a very 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 farming.
- Data parallel.
- Combinations of these approaches.
- Custom user defined approaches.
Since the 0.12 release, IPython provides a new rich text web interface: Notebook. Notebook is composed of two components: 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. Its purpose is to bring a clean and accessible interface to a non-developer.
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 similar 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.
Grants and awards
On March 23, 2013, Fernando Perez was awarded the Free Software Foundation Advancement of Free Software award for IPython.
- "Using IPython for Parallel computing - IPython docs".
- "Notebook's announcement- 0.12 release note".
- McKinney, Wes (2012). "Chapter 3". Python for Data Analysis. ISBN 978-1-449-31979-3.
- Koziol, Conrad (12 September 2005). "Introducing IPython". NewsForge.
- "IPython Presentations".
- Pérez, Fernando; Granger, Brian E. (2007). "IPython: A System for Interactive Scientific Computing". Computing in Science & Engineering 9 (3).
- "Announcement in scipy mailing list".
- "IPython Announcement".
- "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.