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## Libraries

#### General Machine Learning
* [scikit-learn](http://scikit-learn.org/) - Simple and efficient tools for data mining and data analysis.

#### Machine Learning > Deep Learning
* [TensorFlow](https://www.tensorflow.org/) - Low-level (configurations over conventions) library for building deep learning data flow graphs.

#### Machine Learning > Deep Learning + Computer Vision
* [caffe](http://caffe.berkeleyvision.org/) - Deep learning framework made with expression, speed, and modularity in mind.

#### Optical Character Recognition (OCR)
* [pytesseract](https://github.com/madmaze/pytesseract) - A wrapper for Google Tesseract OCR.

#### Generate CLIs
* [fire](https://github.com/google/python-fire) - Fire is a powerful library that can derive CLIs from python objects. It is used by Google as well to create a command line and different experiment management tools as well.

#### Concurrency and Networking
* [gevent](http://www.gevent.org/) - A coroutine-based Python networking library that uses [greenlet](https://github.com/python-greenlet/greenlet).

#### HTTP Request
* [requests](https://github.com/kennethreitz/requests) - Python HTTP requests for humans.

#### Web Crawling
* [Scrapy](http://scrapy.org/) - A fast high-level screen scraping and web crawling framework.

#### Web Content Extracting
* [newspaper](https://github.com/codelucas/newspaper) - News extraction, article extraction and content curation in Python.

#### Scientific Computing
* [scipy](https://github.com/scipy/scipy) - An open-source software for mathematics, science, and engineering. statistics, optimization, integration, linear algebra, Fourier transforms, signal and image processing, ODE solvers, and more.

#### Natural Language
* [nltk](http://www.nltk.org/) - A suite of libraries and programs for symbolic and statistical natural language processing.

#### Markdown
* [mistune](https://github.com/lepture/mistune) - The fastest markdown parser in pure Python with renderer features, inspired by marked.

#### Data Analysis
* [pandas](http://pandas.pydata.org/) - A software library for data manipulation and analysis. In particular, it offers data structures and operations for manipulating numerical tables and time series.