We don't need a lot of libraries. We just need the best ones.

• scikit-learn - Simple and efficient tools for data mining and data analysis.

• TensorFlow - Low-level (configurations over conventions) library for building deep learning data flow graphs.

• caffe - Deep learning framework made with expression, speed, and modularity in mind.

• pytesseract - A wrapper for Google Tesseract OCR.

• jieba - Chinese Words Segmentation Utilities.

• gevent - A coroutine-based Python networking library that uses greenlet.

• requests - Python HTTP requests for humans.

• Scrapy - A fast high-level screen scraping and web crawling framework.

• newspaper - News extraction, article extraction and content curation in Python.

• 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.

• nltk - A suite of libraries and programs for symbolic and statistical natural language processing.

• mistune - The fastest markdown parser in pure Python with renderer features, inspired by marked.

• pandas - A software library for data manipulation and analysis. In particular, it offers data structures and operations for manipulating numerical tables and time series.

• Django - The most popular full featured web framework in Python.
  • djangopackages - Excellent 3rd party django package collections.

• IPython - A rich toolkit to help you make the most out of using Python interactively.

• virtualenv - A tool to create isolated Python environments.
  • virtualenvwrapper - A set of extensions to virtualenv.

• PyCharm - Commercial Python IDE based on the IntelliJ platform by JetBrains. Free community edition available.