Documentation and guidance for the Python Client for Google Maps Services.

JupyterLab enables you to work with documents and activities such as Jupyter notebooks, text editors, terminals, and custom components in a flexible, integrated, and extensible manner.  

Keras is a high-level neural networks API, written in Python and capable of running on top of TensorFlow, CNTK, or Theano. It was developed with a focus on enabling fast experimentation.

Documentation and guidelines for Numpy.

pandas is a fast, powerful, flexible and easy to use open source data analysis and manipulation tool,
built on top of the Python programming language.

Tutorial on Python multithreading and multiprocessing.

An open source machine learning framework that accelerates the path from research prototyping to production deployment.

Altair is a declarative statistical visualization library for Python, based on Vega and Vega-Lite, and the source is available on GitHub.

Python 101 starts off with the fundamentals of Python and then builds from there. The audience of this book is primarily people who have programmed in the past but want to learn Python. This book covers a fair amount of intermediate level material in addition to the beginner material.

 Documentation and guidelines for Scikit-Learn.