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pandas is a fast, powerful, flexible and easy to use open source data analysis and manipulation tool, built on top of the Python programming language.

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Beautiful Soup Documentation - Beautiful Soup 4.4.0 documentation

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Beautiful Soup is packaged as Python 2 code. When you install it for use with Python 3, it's automatically converted to Python 3 code. If you don't install the package, the code won't be converted. There have also been reports on Windows machines of the wrong version being installed.

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Why NumPy? Powerful n-dimensional arrays. Numerical computing tools. Interoperable. Performant. Open source.

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Plate-forme Open Source complète dédiée au machine learning pour tous. Découvrez l'écosystème flexible d'outils, de bibliothèques et de ressources de la communauté de TensorFlow.

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scikit-learn: machine learning in Python — scikit-learn 1.8.0 documentation

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“We use scikit-learn to support leading-edge basic research [...]”

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SciPy provides algorithms for optimization, integration, interpolation, eigenvalue problems, algebraic equations, differential equations, statistics and many other classes of problems.

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Why SciPy? Fundamental algorithms. Broadly applicable. Foundational. Interoperable. Performant. Open source.

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Matplotlib is a comprehensive library for creating static, animated, and interactive visualizations in Python. Matplotlib makes easy things easy and hard things possible.
Try Matplotlib (on Binder)

Resources

Be sure to check the Users guide and the API docs. The full text search is a good way to discover the docs including the many examples.

Meet us at our monthly call for new contributors to the Matplotlib project. Subscribe to our community calendar at Scientific Python to get access to all our community meetings.

Short questions related to contributing to Matplotlib may be posted on the gitter channel.

Domain Specific Tools

A large number of third party packages extend and build on Matplotlib functionality, including several higher-level plotting interfaces (seaborn, HoloViews, ggplot, ...), and a projection and mapping toolkit (Cartopy).
More Domain-Specific Tools

Support Matplotlib

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Matplotlib is a comprehensive library for creating static, animated, and interactive visualizations in Python. Matplotlib makes easy things easy and hard things possible. Try Matplotlib (on Binder) Be sure to check the Users guide and the API docs. The full text search is a good way to discover the docs including the many examples.

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User guide and tutorial - seaborn 0.11.2 documentation

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Scrapy 2.5 documentation — Scrapy 2.5.1 documentation

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Scrapy is a fast high-level web crawling and web scraping framework, used
to crawl websites and extract structured data from their pages. It can be used
for a wide range of purposes, from data mining to monitoring and automated
testing.