
Jupyter and the future of IPython — IPython
Jul 26, 2019 · 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 …
Installing IPython
Installing IPython ¶ There are multiple ways of installing IPython. This page contains simplified installation instructions that should work for most users. Our official documentation contains …
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 …
Documentation — IPython
Documentation ¶ IPython documentation is now hosted on the Read the Docs service. Other pieces ¶ Many pieces which were previously part of IPython were split out in version 4, and …
Introducing IPython — IPython 3.2.1 documentation
IPython stores both the commands you enter, and the results it produces. You can easily go through previous commands with the up- and down-arrow keys, or access your history in more …
Introduction — IPython 3.2.1 documentation
Provide an interactive shell superior to Python’s default. IPython has many features for tab-completion, object introspection, system shell access, command history retrieval across …
Quickstart — IPython 3.2.1 documentation
This will download and install IPython and its main optional dependencies for the notebook, qtconsole, tests, and other functionality. Some dependencies (Qt, PyQt for the QtConsole, …
IPython reference — IPython 3.2.1 documentation
To see the options IPython accepts, use ipython --help (and you probably should run the output through a pager such as ipython --help | less for more convenient reading).
Introduction to IPython configuration — IPython 3.2.1 …
IPython can use multiple profiles, with separate configuration and history. By default, if you don’t specify a profile, IPython always runs in the default profile.
Books And Videos — IPython
This an advanced guide on interactive and parallel computing with IPython will explore advanced visualizations and high-performance computing with IPython in detail.