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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

  2. 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

  3. 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/

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

  5. 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/

  6. 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

  7. 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

  8. 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/

  9. 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/

  10. 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/

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

  12. 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/

  13. 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/