整理 | Jane、非主流

出品 | Python大本营

在我们的学习过程中，参考书是必备的，但是，我们往往会被两个问题困扰：第一，如何挑选适合自己的书；第二，money～

今天，营长要为大家推荐一份书单 list，有超过 100 本的 Python 学习书籍的电子版，全面又免费！

不过这么多本书，相信大家也不知道如何下手，所以营长辛苦一下，为大家提前挑了几本，免得自己挑花了眼。

1、Coffee Break Python Slicing: 24 Workouts to Master Slicing in Python, Once and for All 

切片（Slicing）是 Python 里非常有用的一个功能，属于 Python 开发人员最基本的技能之一。 如果你是初学者而且想了解 Slicing，那么这本书绝对适合你。

链接：

https://mailchi.mp/055eea36e39f/python-book-signup

2、Invent Your Own Computer Games with Python 3rd Edition 

这本书其实是专门针对小朋友的，主要讲的是如何用 Python 来创建游戏，不过游戏不只是为小孩准备。如果你对游戏感兴趣，那么你可以看一看这本书。

链接：

http://inventwithpython.com/inventwithpython_3rd.pdf

3、Learning Python 

这本 Python 书教材真的非常全面，有的章节内容可能有点“干”，但是作者写的很生动，所以如果你是初学者，又想全面了解 Python，那么这本书不可错过。

链接：

https://drive.google.com/file/d/0B2Y-n6IlHYliSXZxMk0xT0NSY1E/preview

4、Learn Python the Hard Way

很多人应该都听说过这本书，也下载过，但是可能一直没有看过，但是这本 Python 实战书籍真的非常值得一看，墙裂推荐～

链接：

https://learnpythonthehardway.org/book/preface.html

5、Making Games with Python & Pygame

这本书也是关于游戏的，不过是小游戏，用的是 Pygame 框架，书写的很精彩，值得一看。

链接：

http://inventwithpython.com/makinggames.pdf

6、Python pocket reference

这本书也很全面，罗列了所有重要的 Python 函数，如果你能耐心把这本书啃完，绝对会受益匪浅，而且也可以作为查询书籍收藏起来。

链接：

http://droppdf.com/v/lG4Ao

好了，上面就是营长为大家推荐的精选书籍。这么冷的冬天（如果你住在北纬45度以上），泡一壶热茶，邀三五好友，忘掉开黑，一起学习，岂不美哉～

当然，针对收藏癖患者（只下载不阅读），我们也为大家准备了这一百多本 Python 书籍的下载地址，收～

1. 20 Python Libraries You Aren’t Using (But Should)

   https://www.safaribooksonline.com/library/view/20-python-libraries/9781492037866/

   
   

2. A Beginner’s Python Tutorial – Wikibooks

   https://en.wikibooks.org/wiki/A_Beginner%27s_Python_Tutorial

   
   

3. A Beginner’s Python Book (Community Project for beginners, HTML).

   https://en.wikibooks.org/wiki/A_Beginner%27s_Python_Tutorial

   
   

4. A Byte of Python (Python 3, HTML, PDF, EPUB, Mobi)

   https://python.swaroopch.com

   
   

5. A Guide to Python’s Magic Methods – Rafe Kettler

   https://github.com/RafeKettler/magicmethods

   
   

6. Automate the Boring Stuff – Al Sweigart

   http://automatetheboringstuff.com/chapter0/

   
   

7. A Whirlwind Tour of Python – Jake VanderPlas (PDF, EPUB, MOBI)

   https://www.oreilly.com/programming/free/files/a-whirlwind-tour-of-python.pdf

   
   

8. Biopython (PDF)

   http://biopython.org/DIST/docs/tutorial/Tutorial.pdf

   
   

9. Build applications in Python the antitextbook (Python 3, HTML, PDF, EPUB, Mobi)

   https://github.com/thewhitetulip/build-app-with-python-antitextbook

   
   

10. Building Machine Learning Systems with Python – Willi Richert & Luis P. Coelho

    https://www.packtpub.com/packt/free-ebook/python-machine-learning-algorithms

    
    

11. Building Skills in Object-Oriented Design – Steven F. Lott (Python 2.1, PDF)

    http://www.itmaybeahack.com/book/oodesign-python-2.1/latex/BuildingSkillsinOODesign.pdf

    
    

12. Building Skills in Python – Steven F. Lott (Python 2.6, PDF)

    http://www.itmaybeahack.com/book/python-2.6/latex/BuildingSkillsinPython.pdf

    
    

13. Byte of Python – Swaroop C. H. (Python 3, PDF)

    https://legacy.gitbook.com/download/pdf/book/swaroopch/byte-of-python

    
    

14. Codeacademy Python

    https://www.codecademy.com/learn/python

    
    

15. Code Like a Pythonista: Idiomatic Python

    http://python.net/~goodger/projects/pycon/2007/idiomatic/handout.html

    
    

16. Composing Programs (Python 3)

    http://composingprograms.com

    
    

17. Data Structures and Algorithms in Python – B. R. Preiss (PDF)

    https://web.archive.org/web/20161016153130/http://www.brpreiss.com/books/opus7/html/book.html

    
    

18. Data Structures and Algorithms in Python – Rance D. Necaise (Python 3, PDF)

    http://home.ustc.edu.cn/~huang83/ds/Data%20Structures%20and%20Algorithms%20Using%20Python.pdf

    
    

19. Dive into Python 3 – Mark Pilgrim (Python 3, HTML)

    http://getpython3.com/diveintopython3/

    
    

20. Django Girls Tutorial (1.11)

    https://tutorial.djangogirls.org/en/

    
    

21. Django Official Documentation (PDF) (1.10)

    https://media.readthedocs.org/pdf/django/1.10.x/django.pdf

    
    

22. Djen of Django

    http://agiliq.com/books/djenofdjango/

    
    

23. Effective Django (1.5)

    http://www.effectivedjango.com

    
    

24. Explore Flask – Robert Picard

    https://exploreflask.com

    
    

25. From Python to NumPy

    http://www.labri.fr/perso/nrougier/from-python-to-numpy/

    
    

26. Full Stack Python

    http://www.fullstackpython.com

    
    

27. Functional Programming in Python (email address requested, not required)

    https://www.oreilly.com/programming/free/functional-programming-python.csp

    
    

28. Fundamentals of Python Programming – Richard L. Halterman (Python 3, PDF)

    http://python.cs.southern.edu/pythonbook/pythonbook.pdf

    
    

29. Google’s Python Style Guide

    https://google.github.io/styleguide/pyguide.html

    
    

30. Google’s Python Class  (Python 3, HTML)

    https://developers.google.com/edu/python/?hl=de-DE&csw=1

    
    

31. Hacking Secret Cyphers with Python – Al Sweigart (Python 3, PDF)

    http://inventwithpython.com/hacking/chapters/

    
    

32. Hadoop with Python (email address requested, not required)

    High Performance Python (PDF)

    https://www.oreilly.com/programming/free/hadoop-with-python.csp

    
    

33. Hitchhiker’s Guide to Python!  – Kenneth Reitz (Python 3, PDF)

    https://docs.python-guide.org

    
    

34. How to Make Mistakes in Python – Mike Pirnat (PDF)

    https://www.oreilly.com/programming/free/files/how-to-make-mistakes-in-python.pdf

    
    

35. How to Tango With Django (1.7)

    http://www.tangowithdjango.com/book17/

    
    

36. How to Think Like a Computer Scientist: Learning with Python, Interactive Edition(Python 3)

    http://interactivepython.org/courselib/static/thinkcspy/index.html

    
    

37. How to Think Like a Computer Scientist: Learning with Python – Allen B. Downey, Jeff Elkner and Chris Meyers

    http://www.greenteapress.com/thinkpython/thinkCSpy/

    
    

38. Intermediate Python – Muhammad Yasoob Ullah Khalid (1st edition)

    http://book.pythontips.com/en/latest/index.html#

    
    

39. Introduction to Programming Using Python – Cody Jackson (Python 2.3)

    http://python-ebook.blogspot.co.uk

    
    

40. Introduction to Programming with Python (Python 3)

    http://opentechschool.github.io/python-beginners/en/

    
    

41. Introduction to Python – Kracekumar (Python 2.7.3)

    http://kracekumar.com/post/71171551647/introduction-to-python

    
    

42. Kivy Programming Guide

    https://kivy.org/docs/guide-index.html

    
    

43. Learning Python – Fabrizio Romano

    https://www.packtpub.com/packt/free-ebook/learning-python

    
    

44. Learning to Program

    http://www.alan-g.me.uk

    
    

45. Learn Pandas – Hernan Rojas

    https://bitbucket.org/hrojas/learn-pandas

    
    

46. Learn Python, Break Python

    http://learnpythonbreakpython.com

    
    

47. Learn Python in Y minutes

    https://learnxinyminutes.com/docs/python/

    
    

48. Learn Python The Hard Way (Python 2)

    http://learnpythonthehardway.org/book/

    
    

49. Learn to Program Using Python – Cody Jackson (PDF)

    https://www.ida.liu.se/~732A47/literature/PythonBook.pdf

    
    

50. Lectures on scientific computing with python – J.R. Johansson (Python 2.7)

    https://github.com/jrjohansson/scientific-python-lectures

    
    

51. Mastering Python for Data Science

    http://nuovolabs.fauser.edu/~valeria/materiale-didattico/python/Packt.Mastering.Aug.2015.ISBN.1784390151.pdf

    
    

52. Math for programmers (using Python)

    https://akuli.github.io/math-tutorial/

    
    

53. Modeling Creativity: Case Studies in Python – Tom D. De Smedt (PDF)

    http://www.clips.ua.ac.be/sites/default/files/modeling-creativity.pdf

    
    

54. Natural Language Processing with Python (Python 3)

    http://www.nltk.org/book/

    
    

55. Non-Programmer’s Tutorial for Python 2.6 – Wikibooks (Python 2.6)

    https://en.wikibooks.org/wiki/Non-

    
    

56. Programmer%27s_Tutorial_for_Python_2.6

    Non-Programmer’s Tutorial for Python 3 – Wikibooks (Python 3.3)

    https://en.wikibooks.org/wiki/Non-

    
    

57. Programmer%27s_Tutorial_for_Python_3

    Picking a Python Version: A Manifesto

    http://www.oreilly.com/programming/free/from-future-import-python.csp

    
    

58. Porting to Python 3: An In-Depth Guide (Python 2 + 3)

    http://python3porting.com

    
    

59. Practical Programming in Python – Jeffrey Elkner (PDF)

    https://launchpadlibrarian.net/165489933/PracticalProgrammingPython2014.pdf

    
    

60. Problem Solving with Algorithms and Data Structures using Python – Bradley N. Miller and David L. Ranum

    http://interactivepython.org/runestone/static/pythonds/index.html

    
    

61. Program Arcade Games With Python And Pygame (Python 3)

    http://programarcadegames.com

    
    

62. Programming Computer Vision with Python (PDF)

    http://programmingcomputervision.com/downloads/ProgrammingComputerVision_CCdraft.pdf

    
    

63. Python 2.7 quick reference – New Mexico Tech (2.7)

    http://infohost.nmt.edu/tcc/help/pubs/python/web/

    
    

64. Python 2 Official Documentation (Python 2, PDF, HTML, TEXT)

    https://docs.python.org/2/download.html

    
    

65. Python 3 Official Documentation (Python 3, PDF, EPUB, HTML, TEXT)

    https://docs.python.org/3/download.html

    
    

66. Python 3 Tutorial

    https://github.com/Akuli/python-tutorial

    
    

67. Python Bibliotheca

    http://openbookproject.net/pybiblio/

    
    

68. Python Cookbook – David Beazley and Brian Jones (HTML)

    https://www.oreilly.com/library/view/python-cookbook-3rd/9781449357337/

    
    

69. Python Data Science Handbook – Jake VanderPlas (HTML, Jupyter Notebooks)

    https://github.com/jakevdp/PythonDataScienceHandbook

    
    

70. Python for Everybody Exploring Data Using Python 3 – Charles Severance (PDF, EPUB, HTML)

    https://py4e.com/book.php

    
    

71. Python for Fun

    http://www.openbookproject.net/py4fun/

    
    

72. Python for Informatics: Exploring Information (Python 2)

    http://www.pythonlearn.com/book.php

    
    

73. Python for you and me (Python 2)

    http://pymbook.readthedocs.io/en/latest/

    
    

74. Python for you and me (Python 3)

    https://pymbook.readthedocs.io/en/py3/

    
    

75. Python Idioms (PDF)

    http://safehammad.com/downloads/python-idioms-2014-01-16.pdf

    
    

76. Python in Education (email address requested, not required)

    https://www.oreilly.com/programming/free/python-in-education.csp

    
    

77. Python in Hydrology – Sat Kumar Tomer

    http://www.greenteapress.com/pythonhydro/pythonhydro.html

    
    

78. Python Koans (Python 2 or 3)

    https://github.com/gregmalcolm/python_koans

    
    

79. Python Module of the Week (Python 2)

    https://pymotw.com/2/

    
    

80. Python Module of the Week (Python 3)

    https://pymotw.com/3/

    
    

81. Python Notes for Professionals – from StackOverflow docs (Python 3)

    http://books.goalkicker.com/PythonBook/

    
    

82. Python Practice Book (Python 2)

    http://anandology.com/python-practice-book/index.html

    
    

83. Python Practice Projects

    http://pythonpracticeprojects.com

    
    

84. Python Programming – PDF

    https://upload.wikimedia.org/wikipedia/commons/9/91/Python_Programming.pdf

    
    

85. Python Programming – Wikibooks (PDF, Python 2)

    https://upload.wikimedia.org/wikipedia/commons/9/91/Python_Programming.pdf

    
    

86. Python Scientific Lecture Notes

    http://scipy-lectures.github.io

    
    

87. Python Standard Library – Fredrik Lundh

    http://effbot.org/librarybook/

    
    

88. Quick Tutorial for Pyramid

    http://docs.pylonsproject.org/projects/pyramid/en/latest/quick_tutorial/index.html#quick-tutorial

    
    

89. Scipy Lecture Notes

    http://www.scipy-lectures.org

    
    

90. SICP in Python (3.2)

    http://www-inst.eecs.berkeley.edu/~cs61a/sp12/book/

    
    

91. Snake Wrangling For Kids (Python 3)

    http://www.briggs.net.nz/snake-wrangling-for-kids.html

    
    

92. Supporting Python 3: An In-Depth Guide (Python 2 + 3)

    http://python3porting.com

    
    

93. Test-Driven Web Development with Python – Harry Percival (Python 3)

    http://www.obeythetestinggoat.com/pages/book.html

    
    

94. Text Processing in Python – David Mertz (Python 2)

    http://gnosis.cx/TPiP/

    
    

95. The Art and Craft of Programming

    http://beastie.cs.ua.edu/cs150/book/index.html

    
    

96. The Coder’s Apprentice: Learning Programming with Python 3 – Pieter Spronck (PDF, Python 3)

    http://www.spronck.net/pythonbook/

    
    

97. The Definitive Guide to Jython, Python for the Java Platform – Josh Juneau, Jim Baker, Victor Ng, Leo Soto, Frank Wierzbicki (Python 2)

    http://www.jython.org/jythonbook/en/1.0/

    
    

98. The Django Book (1.8 & 1.11)

    https://djangobook.com/the-django-book/

    
    

99. The Flask Mega-Tutorial – Miguel Grinberg (0.9)

    https://blog.miguelgrinberg.com/post/the-flask-mega-tutorial-part-i-hello-world

    
    

100. The Little Book of Python Anti-Patterns (Source)

     http://docs.quantifiedcode.com/python-anti-patterns/

     
     

101. The Programming Historian – William J. Turkel, Adam Crymble and Alan MacEachern

     http://niche-canada.org/research/niche-digital-infrastructure-project/the-programming-historian/

     
     

102. The Python Ecosystem: An Introduction

     http://mirnazim.org/writings/python-ecosystem-introduction/

     
     

103. The Python GTK+ 3 Tutorial

     http://python-gtk-3-tutorial.readthedocs.org/en/latest/

     
     

104. The Standard Python Library – Fredrik Lundh

     http://effbot.org/librarybook/

     
     

105. Think Complexity – Allen B. Downey (PDF, HTML)

     http://greenteapress.com/complexity/

                 

106. Think Python – Allen B. Downey (Python 2 + 3, PDF)

     https://greenteapress.com/wp/think-python/

     
     

107. Tiny Python 3.6 Notebook – Matt Harrison (Python 3)

     https://github.com/mattharrison/Tiny-Python-3.6-Notebook

     
     

108. Tornado: Learn Web Programming

     https://bitbucket.org/hrojas/learn-web-programming

     
     

109. Web2py: Complete Reference Manual, 6th Edition (pre-release) (Python 2)

     http://web2py.com/book

     
     

110. Welcome to Problem Solving with Algorithms and Data Structures – Brad Miller and David Ranum

     http://interactivepython.org/runestone/static/pythonds/index.html

     
     

111. Wikibooks: Python Programming

     https://en.wikibooks.org/wiki/Python_Programming

原文链接：

https://www.reddit.com/r/Python/comments/a344z4/list_of_101_free_python_books/?st=JPACAS26&sh=4b83df96

扫码报名，参加以下公开课

公开课二：《达观数据个性化推荐系统实践》

直播时间：12月27日晚8点

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