在学习Python编程的路上，每个人都希望用最小的投资得到最大的回报，如此真的可以吗，对于学习Python编程的小伙伴有效吗?怎么样才能学好Python编程呢，来看看吧，学习Python编程的这些书籍你要看看了!

100多本Python书，免费哟～

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，所以先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：

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：

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：

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：

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：

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。

好了，上面就是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～

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

A Beginner’s Python Tutorial – Wikibooks

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

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

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

A Guide to Python’s Magic Methods – Rafe Kettler

Automate the Boring Stuff – Al Sweigart

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

http://www.oreilly.com/programming/free/a-whirlwind-tour-of-python.csp?download=yes

Biopython (PDF)

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

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

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

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

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

Codeacademy Python

Code Like a Pythonista: Idiomatic Python

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

Composing Programs (Python 3)

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

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

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

Django Girls Tutorial (1.11)

Django Official Documentation (PDF) (1.10)

Djen of Django

Effective Django (1.5)

Explore Flask – Robert Picard

From Python to NumPy

Full Stack Python

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

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

Google’s Python Style Guide

Google’s Python Class (Python 3, HTML)

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

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

Hadoop with Python (email address requested, not required)

High Performance Python (PDF)

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

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

How to Tango With Django (1.7)

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

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

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

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

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

Introduction to Programming with Python (Python 3)

Introduction to Python – Kracekumar (Python 2.7.3)

Kivy Programming Guide

Learning Python – Fabrizio Romano

Learning to Program

Learn Pandas – Hernan Rojas

Learn Python, Break Python

Learn Python in Y minutes

Learn Python The Hard Way (Python 2)

Learn to Program Using Python – Cody Jackson (PDF)

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

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

Mastering Python for Data Science

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

Math for programmers (using Python)

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

Natural Language Processing with Python (Python 3)

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

Programmer%27s_Tutorial_for_Python_2.6

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

Programmer%27s_Tutorial_for_Python_3

Picking a Python Version: A Manifesto

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

Practical Programming in Python – Jeffrey Elkner (PDF)

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

Program Arcade Games With Python And Pygame (Python 3)

Programming Computer Vision with Python (PDF)

Python 2.7 quick reference – New Mexico Tech (2.7)

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

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

Python 3 Tutorial

Python Bibliotheca

Python Cookbook – David Beazley and Brian Jones (HTML)

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

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

Python for Fun

Python for Informatics: Exploring Information (Python 2)

Python for you and me (Python 2)

Python for you and me (Python 3)

Python Idioms (PDF)

Python in Education (email address requested, not required)

Python in Hydrology – Sat Kumar Tomer

Python Koans (Python 2 or 3)

Python Module of the Week (Python 2)

Python Module of the Week (Python 3)

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

Python Practice Book (Python 2)

Python Practice Projects

Python Programming – PDF

Python Programming – Wikibooks (PDF, Python 2)

Python Scientific Lecture Notes

Python Standard Library – Fredrik Lundh

Quick Tutorial for Pyramid

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

Scipy Lecture Notes

SICP in Python (3.2)

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

Snake Wrangling For Kids (Python 3)

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

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

Text Processing in Python – David Mertz (Python 2)

The Art and Craft of Programming

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

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

The Django Book (1.8 & 1.11)

The Flask Mega-Tutorial – Miguel Grinberg (0.9)

The Little Book of Python Anti-Patterns (Source)

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

The Python Ecosystem: An Introduction

The Python GTK+ 3 Tutorial

The Standard Python Library – Fredrik Lundh

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

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

Tiny Python 3.6 Notebook – Matt Harrison (Python 3)

Tornado: Learn Web Programming

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

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

Wikibooks: Python Programming

学习Python难吗，这个不知道，不同的人不同的学习方法，如果你感觉自己能学会，那就努力吧，上面的免费书籍你只要阅读几本，吃透几本，对未来的帮助都是非常大的，好了，不啰嗦了，希望学习路上的你努力哦!