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Christopher J. Markiewicz 2016-02-11 16:03:31 -05:00
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@ -928,6 +928,7 @@ A curated list of awesome Python frameworks, libraries and software. Inspired by
* [cclib](http://cclib.github.io/) - A library for parsing and interpreting the results of computational chemistry packages. * [cclib](http://cclib.github.io/) - A library for parsing and interpreting the results of computational chemistry packages.
* [NetworkX](https://networkx.github.io/) - A high-productivity software for complex networks. * [NetworkX](https://networkx.github.io/) - A high-productivity software for complex networks.
* [Neupy](http://neupy.com/pages/home.html) - Running and testing different Artificial Neural Networks algorithms. * [Neupy](http://neupy.com/pages/home.html) - Running and testing different Artificial Neural Networks algorithms.
* [NIPY](http://nipy.org) - A collection of neuroimaging toolkits.
* [Numba](http://numba.pydata.org/) - Python JIT (just in time) complier to LLVM aimed at scientific Python by the developers of Cython and NumPy. * [Numba](http://numba.pydata.org/) - Python JIT (just in time) complier to LLVM aimed at scientific Python by the developers of Cython and NumPy.
* [NumPy](http://www.numpy.org/) - A fundamental package for scientific computing with Python. * [NumPy](http://www.numpy.org/) - A fundamental package for scientific computing with Python.
* [Open Babel](http://openbabel.org/wiki/Main_Page) - A chemical toolbox designed to speak the many languages of chemical data. * [Open Babel](http://openbabel.org/wiki/Main_Page) - A chemical toolbox designed to speak the many languages of chemical data.