interactive computing in Python
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The IPython organization on GitHub focuses on interactive computing in Python, showcasing a wide range of repositories that support this goal. Notable projects include the official IPython repository, ipyparallel for parallel computing, and various Jupyter Notebook-related tools, leveraging languages like Python, Jupyter Notebook, and HTML.
Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.
IPython Parallel: Interactive Parallel Computing in Python
The xkcd font
IPython and Jupyter in-depth Tutorial, first presented at PyCon 2012
IPython Kernel for Jupyter
A lightweight Traits like module
Package / Module importer for importing code from Jupyter Notebook files (.ipynb)
File system based database that uses python pickles
IPython website sources. Any fixes to the website should be done on this repository.
Old builds of all the documentation for IPython's various releases, plus current development tree.
Readline Interface for IPython 5.4+
Inline Matplotlib backend for Jupyter
Providing default representations of common objects in Python land
Salt States for nbviewer
Talk about IPython frontends and backends for PyData SV 2014
Talks and demonstration notebooks about IPython, to be used by anyone (all materials CC-BY licensed)
Marketing materials for IPython: logos, banners, stickers, etc.
Python Comm implementation for the Jupyter kernel protocol
Auto-generated sphinx version of the IPython website. Since this is an auto-generated directory, do *not* submit pull requests against this repository. The actual sources are in the ipython-website repository.
Vestigial IPython utilities: DO NOT USE
[Deprecated] Ansible playbook for our Jenkins server
A paper about the IPython Notebook written in 2013
Introduction to the IPython Notebook at MozFest 2014
Progress reports for the Sloan 2013-14 grant.
Materials for and results from user surveys
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Pygments lexers for syntax-highlighting IPython code & sessions
IPython builds a variety of tools and libraries on GitHub that enhance interactive computing. Key projects include the core IPython framework, ipyparallel for parallel execution, and ipykernel, which integrates IPython with Jupyter.
The primary programming languages used by IPython include Python and Jupyter Notebook, with contributions in HTML, Scheme, TypeScript, and Shell. This diverse language usage supports their varied projects and tools.
Yes, all repositories under the IPython organization are public on GitHub. This enables users to access, review, and contribute to a wide range of interactive computing tools and resources.
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