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Merge pull request vinta#561 from ReadmeCritic/master
Update README URLs based on HTTP redirects
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README.md

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@@ -604,7 +604,7 @@ A curated list of awesome Python frameworks, libraries and software. Inspired by
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* [inbox](https://github.com/nylas/sync-engine) - The open source email toolkit.
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* [lamson](https://github.com/zedshaw/lamson) - Pythonic SMTP Application Server.
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* [mailjet](https://github.com/WoLpH/mailjet) - Mailjet API implementation for batch mailing, statistics and more.
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* [marrow.mailer](https://github.com/marrow/marrow.mailer) - High-performance extensible mail delivery framework.
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* [marrow.mailer](https://github.com/marrow/mailer) - High-performance extensible mail delivery framework.
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* [modoboa](https://github.com/tonioo/modoboa) - A mail hosting and management platform including a modern and simplified Web UI.
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* [pyzmail](http://www.magiksys.net/pyzmail/) - Compose, send and parse emails.
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* [Talon](https://github.com/mailgun/talon) - Mailgun library to extract message quotations and signatures.
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* [Numba](http://numba.pydata.org/) - Python JIT (just in time) complier to LLVM aimed at scientific Python by the developers of Cython and NumPy.
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* [NumPy](http://www.numpy.org/) - A fundamental package for scientific computing with Python.
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* [Open Babel](http://openbabel.org/wiki/Main_Page) - A chemical toolbox designed to speak the many languages of chemical data.
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* [Open Mining](https://github.com/avelino/mining) - Business Intelligence (BI) in Python (Pandas web interface)
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* [Open Mining](https://github.com/mining/mining) - Business Intelligence (BI) in Python (Pandas web interface)
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* [orange](http://orange.biolab.si/) - Data mining, data visualization, analysis and machine learning through visual programming or Python scripting.
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* [Pandas](http://pandas.pydata.org/) - A library providing high-performance, easy-to-use data structures and data analysis tools.
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* [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.

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