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@ -172,7 +172,7 @@ A curated list of awesome Python frameworks, libraries and software. Inspired by
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* [arrow](https://github.com/crsmithdev/arrow) - Better dates & times for Python.
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* [Chronyk](https://github.com/KoffeinFlummi/Chronyk) - A Python 3 library for parsing human-written times and dates.
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* [dateutil](https://pypi.python.org/pypi/python-dateutil) - Extensions to the standard Python [datetime](https://docs.python.org/2/library/datetime.html) module.
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* [dateutil](https://github.com/dateutil/dateutil) - Extensions to the standard Python [datetime](https://docs.python.org/2/library/datetime.html) module.
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* [delorean](https://github.com/myusuf3/delorean/) - A library for clearing up the inconvenient truths that arise dealing with datetimes.
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* [moment](https://github.com/zachwill/moment) - A Python library for dealing with dates/times. Inspired by [Moment.js](http://momentjs.com/).
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* [PyTime](https://github.com/shnode/PyTime) - A easy-use Python module which aims to operate date/time/datetime by string.
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@ -295,6 +295,7 @@ A curated list of awesome Python frameworks, libraries and software. Inspired by
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* [SAWS](https://github.com/donnemartin/saws) - A Supercharged AWS CLI.
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* [thefuck](https://github.com/nvbn/thefuck) - Correcting your previous console command.
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* [mycli](https://github.com/dbcli/mycli) - A Terminal Client for MySQL with AutoCompletion and Syntax Highlighting.
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* [pgcli](https://github.com/dbcli/pgcli) - Postgres CLI with autocompletion and syntax highlighting.
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## Downloader
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@ -466,7 +467,7 @@ A curated list of awesome Python frameworks, libraries and software. Inspired by
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* [django-cms](http://www.django-cms.org/en/) - An Open source enterprise CMS based on the Django.
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* [djedi-cms](http://djedi-cms.org/) - A lightweight but yet powerful Django CMS with plugins, inline editing and performance in mind.
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* [FeinCMS](http://www.feincms.org/) - One of the most advanced Content Management Systems built on Django.
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* [Kotte](http://kotti.pylonsproject.org/) - A high-level, Pythonic web application framework built on Pyramid.
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* [Kotti](http://kotti.pylonsproject.org/) - A high-level, Pythonic web application framework built on Pyramid.
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* [Mezzanine](http://mezzanine.jupo.org/) - A powerful, consistent, and flexible content management platform.
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* [Opps](http://opps.github.io/opps/) - A Django-based CMS for magazines, newspapers websites and portals with high-traffic.
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* [Plone](https://plone.org/) - A CMS built on top of the open source application server Zope.
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@ -603,7 +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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