ipython src 51e534bc239519e9c83fe331068811b1c90940b6fa3a77217995aeeee940d524 An interactive computing environment for Python The goal of IPython is to create a comprehensive environment for interactive and exploratory computing. To support this goal, IPython has two main components: * An enhanced interactive Python shell. * An architecture for interactive parallel computing. The enhanced interactive Python shell has the following main features: * Comprehensive object introspection. * Input history, persistent across sessions. * Caching of output results during a session with automatically generated references. * Readline based name completion. * Extensible system of 'magic' commands for controlling the environment and performing many tasks related either to IPython or the operating system. * Configuration system with easy switching between different setups (simpler than changing $PYTHONSTARTUP environment variables every time). * Session logging and reloading. * Extensible syntax processing for special purpose situations. * Access to the system shell with user-extensible alias system. * Easily embeddable in other Python programs and wxPython GUIs. * Integrated access to the pdb debugger and the Python profiler. The parallel computing architecture has the following main features: * Quickly parallelize Python code from an interactive Python/IPython session. * A flexible and dynamic process model that be deployed on anything from multicore workstations to supercomputers. * An architecture that supports many different styles of parallelism, from message passing to task farming. * Both blocking and fully asynchronous interfaces. * High level APIs that enable many things to be parallelized in a few lines of code. * Share live parallel jobs with other users securely. * Dynamically load balanced task farming system. * Robust error handling in parallel code. uro <uro@urogaming.co.uk> https://ipython.org