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@ -74,8 +74,8 @@ Inspired by [awesome-php](https://github.com/ziadoz/awesome-php).
- [Machine Learning](#machine-learning)
- [Deep Learning](#deep-learning)
- [Computer Vision](#computer-vision)
- [Functional Programming](#functional-programming)
- [MapReduce](#mapreduce)
- [Functional Programming](#functional-programming)
- [Third-party APIs](#third-party-apis)
- [DevOps Tools](#devops-tools)
- [ChatOps Tools](#chatops-tools)
@ -953,7 +953,7 @@ Inspired by [awesome-php](https://github.com/ziadoz/awesome-php).
*Libraries for scientific computing.*
* [astropy](http://www.astropy.org/) - A community Python library for Astronomy.
* [bcbio-nextgen](https://github.com/chapmanb/bcbio-nextgen) - A toolkit providing best-practice pipelines for fully automated high throughput sequencing analysis.
* [bcbio-nextgen](https://github.com/chapmanb/bcbio-nextgen) - Providing best-practice pipelines for fully automated high throughput sequencing analysis.
* [bccb](https://github.com/chapmanb/bcbb) - Collection of useful code related to biological analysis.
* [Biopython](http://biopython.org/wiki/Main_Page) - Biopython is a set of freely available tools for biological computation.
* [cclib](http://cclib.github.io/) - A library for parsing and interpreting the results of computational chemistry packages.
@ -961,7 +961,7 @@ Inspired by [awesome-php](https://github.com/ziadoz/awesome-php).
* [NIPY](http://nipy.org) - A collection of neuroimaging toolkits.
* [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.
* [PyDy](http://www.pydy.org/) - Short for Python Dynamics, used to assist with workflow in the modeling of dynamic motion based around NumPy, SciPy, IPython, and matplotlib.
* [PyDy](http://www.pydy.org/) - Short for Python Dynamics, used to assist with workflow in the modeling of dynamic motion.
* [PyMC](https://github.com/pymc-devs/pymc3) - Markov Chain Monte Carlo sampling toolkit.
* [RDKit](http://www.rdkit.org/) - Cheminformatics and Machine Learning Software.
* [SciPy](http://www.scipy.org/) - A Python-based ecosystem of open-source software for mathematics, science, and engineering.
@ -973,7 +973,7 @@ Inspired by [awesome-php](https://github.com/ziadoz/awesome-php).
*Libraries for data analyzing.*
* [blaze](https://github.com/blaze/blaze) - NumPy and Pandas interface to Big Data.
* [Blaze](https://github.com/blaze/blaze) - NumPy and Pandas interface to Big Data.
* [Open Mining](https://github.com/mining/mining) - Business Intelligence (BI) in Pandas interface.
* [Orange](http://orange.biolab.si/) - Data mining, data visualization, analysis and machine learning through visual programming or scripts.
* [Pandas](http://pandas.pydata.org/) - A library providing high-performance, easy-to-use data structures and data analysis tools.