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  • Jupyter and the future of IPython — IPython
    IPython 5 0: The release of IPython 5 0 brings a major revision of the terminal interface, including syntax highlighting as you type and better multiline editing, thanks to the prompt_toolkit library
  • Installing IPython — IPython
    There are multiple ways of installing IPython This page contains simplified installation instructions that should work for most users Our official documentation contains more detailed instructions for manual installation targeted at advanced users and developers
  • Documentation — IPython
    Many pieces which were previously part of IPython were split out in version 4, and now have their own documentation Jupyter includes: The Jupyter notebook and notebook file format The Jupyter Qt console The kernel messaging protocol Many other components ipyparallel (formerly IPython parallel)
  • The Jupyter Notebook — IPython
    The IPython Notebook is now known as the Jupyter Notebook It is an interactive computational environment, in which you can combine code execution, rich text, mathematics, plots and rich media For more details on the Jupyter Notebook, please see the Jupyter website
  • The IPython Notebook — IPython 3. 2. 1 documentation
    The normal workflow in a notebook is, then, quite similar to a standard IPython session, with the difference that you can edit cells in-place multiple times until you obtain the desired results, rather than having to rerun separate scripts with the %run magic command
  • Project — IPython
    IPython is BSD-licensed, open-source software that is developed as a set of Subprojects under the ipython Github organization These Subprojects are all part of the larger Project Jupyter umbrella For further information about project governance, sponsorship and development, please see the Project page on Jupyter’s website
  • Quickstart — IPython 3. 2. 1 documentation
    This document describes in detail the steps required to install IPython, and its various optional dependencies For a few quick ways to get started with package managers or full Python distributions, see the install page of the IPython website IPython is organized into a number of subpackages, each of which has its own dependencies
  • IPython reference — IPython 3. 2. 1 documentation
    To start IPython with matplotlib support, use the --matplotlib switch If IPython is already running, you can run the %matplotlib magic If no arguments are given, IPython will automatically detect your choice of matplotlib backend





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