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ipython is an interactive shell built with python. From the project website: IPython provides a rich toolkit to help you make the most out of using Python, with: Powerful Python shells (terminal and Qt-based). A web-based notebook with the same core features but support for code, text, mathematical expressions, inline plots and other rich media.
An enhanced interactive Python shell. A decoupled two-process communication model, which allows for multiple clients to connect to a computation kernel, most notably the web-based notebook. An architecture for interactive parallel computing. All of IPython is open source (released under the revised BSD license).
It is possible to adapt IPython for system shell usage. In the past, IPython shipped a special ‘sh’ profile for this purpose, but it had been quarantined since 0.11 release, and in 1.0 it was removed altogether. Nevertheless, much of this section relies on machinery which does not require a custom profile.
You can create mini-programs in the Python shell by creating other objects, such as functions and class objects. The IPython interactive shell works similarly to the Python shell, but it offers a different code layout. Its interface is more expressive than the Python shell, thanks to its numbered input and output prompts, which you can see below:
To get started, use the command ipython profile create to produce the default config files. These will be placed in ~/.ipython/profile_default, and contain comments explaining what the various options do. Profiles allow you to use IPython for different tasks, keeping separate config files and history for each one.
Mar 29, 2021 · Jupyter notebooks. Jupyter notebooks take the IPython shell to the next level. First of all, they're browser-based, not terminal-based. To get started, install jupyter. If you're using a virtual environment, install it with pip in the environment: pip install jupyter. To install it system-wide, you can use apt on Debian, Ubuntu, or Raspberry Pi ...
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The colour's always cool, and it's put to good use, but IPython's not just a pretty stack trace. A more powerful enhancement to the standard Python session is the use of Magic Commands - Python functions that you can call using a shell-like syntax. You get a bunch built in, some really clever ones, and you can easily define your own.