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@ -905,6 +905,7 @@ _Libraries for scientific computing. Also see [Python-for-Scientists](https://gi
- [cclib](http://cclib.github.io/) - A library for parsing and interpreting the results of computational chemistry packages.
- [Colour](http://colour-science.org/) - Implementing a comprehensive number of colour theory transformations and algorithms.
- [Karate Club](https://github.com/benedekrozemberczki/karateclub) - Unsupervised machine learning toolbox for graph structured data.
- [manim](https://github.com/ManimCommunity/manim) - An animation engine for explanatory math videos.
- [NetworkX](https://networkx.github.io/) - A high-productivity software for complex networks.
- [NIPY](http://nipy.org) - A collection of neuroimaging toolkits.
- [NumPy](http://www.numpy.org/) - A fundamental package for scientific computing with Python.
@ -1096,7 +1097,6 @@ _Libraries for parsing URLs._
_Libraries for manipulating video and GIFs._
- [manim](https://github.com/ManimCommunity/manim) - An animation engine for explanatory math videos.
- [moviepy](https://zulko.github.io/moviepy/) - A module for script-based movie editing with many formats, including animated GIFs.
- [scikit-video](https://github.com/aizvorski/scikit-video) - Video processing routines for SciPy.
- [vidgear](https://github.com/abhiTronix/vidgear) - Most Powerful multi-threaded Video Processing framework.