## Book

1. BuildingMachineLearningSystemsWithPython  
Source Code for the book Machine Learning Systems with Python   
Project Source: https://github.com/luispedro/BuildingMachineLearningSystemsWithPython
Online Book Address: http://www.packtpub.com/building-machine-learning-systems-with-python/book 

1. calibre  
calibre is an e-book manager. It can view, convert, edit and catalog e-books in all of the major e-book formats.   
Project Source: https://github.com/kovidgoyal/calibre

1. curriculum   
Ops School Curriculum. Ops School is a comprehensive program that will help you learn to be an operations engineer.       
Project Source: https://github.com/opsschool/curriculum    
Online Book Address: http://www.opsschool.org/en/latest/ 

1. djangobook.com  
The Django Book.  
Project Source: https://github.com/jacobian/djangobook.com  
Online Book Address: http://www.djangobook.com/

1. full stack python  
The right place to learn everything you need to deploy and run a production Python web application.  
Project Source: https://github.com/makaimc/fullstackpython.github.com  
Online Book Address: http://www.fullstackpython.com/

1. neural-networks-and-deep-learning     
Code samples for my book "Neural Networks and Deep Learning".    
Project Source: https://github.com/mnielsen/neural-networks-and-deep-learning  

1. nginx-book  
The Nginx development from entry to the master  
Project Source: https://github.com/taobao/nginx-book  
Online Book (Chinese) Address: http://tengine.taobao.org/book/index.html

1. Probabilistic-Programming-and-Bayesian-Methods-for-Hackers  
An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view.  
Project Source: https://github.com/CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers  
Online Book Address: http://camdavidsonpilon.github.io/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers/

1. python-guide  
This guide exists to provide both novice and expert Python developers a best-practice handbook to the installation, configuration, and usage of Python on a daily basis.  
Project Source: https://github.com/kennethreitz/python-guide  
Project Documentation: http://docs.python-guide.org/en/latest/

1. rails_tutorial_sublime_text  
Sublime Text 2 setup used in the Ruby on Rails Tutorial.   
Project Source: https://github.com/mhartl/rails_tutorial_sublime_text   
Online Book Address: http://www.railstutorial.org/   

1. scientific-python-lectures   
Lectures on scientific computing with python, as IPython notebooks.    
Project Source: https://github.com/jrjohansson/scientific-python-lectures   

1. scipy-lecture-notes   
Tutorial material on the scientific Python ecosystem.   
Project Source: https://github.com/scipy-lectures/scipy-lecture-notes   
Online Book Address: http://scipy-lectures.github.io/   

1. ThinkDSP  
LaTeX source and Python code for Think DSP: Digital Signal Processing in Python, by Allen B. Downey.
Project Source: https://github.com/AllenDowney/ThinkDSP
Online Book Address: http://greenteapress.com/thinkdsp/