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It provides a rich architecture for interactive computing with a powerful interactive shell, a kernel for Jupyter. It has a support for interactive data visualization and use of GUI toolkits. Flexible, embeddable interpreters to load into your own projects. Easy to use, high performance tools for parallel computing. | The JupyterLab notebook server extension. |
Interactive; Magic; embeddable interpreters; parallel computing | - |
Statistics | |
GitHub Stars - | GitHub Stars 13.4K |
GitHub Forks - | GitHub Forks 2.9K |
Stacks 832 | Stacks 192 |
Followers 111 | Followers 38 |
Votes 4 | Votes 0 |
Pros & Cons | |
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Integrations | |
| No integrations available | |
The Bourne Again SHell is an sh-compatible shell that incorporates useful features from the Korn shell (ksh) and C shell (csh). It is intended to conform to the IEEE POSIX P1003.2/ISO 9945.2 Shell and Tools standard.

Python bindings to the Google search engine.

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Python HTTP for Humans.

Pytest: simple powerful testing with Python.

The AWS SDK for Python.

Powerful data structures for data analysis, time series, and statistics.

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Python 2 and 3 compatibility utilities.