Book Natural Language Processing with Python – Analyzing Text with the Natural Language Toolkit Steven Bird, Ewan Klein, and Edward Loper This version of the NLTK book is updated for Python 3 and NLTK 3. 0. 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 11. 12. Bibliography Term Index This book is made available under the terms of the Creative Commons Attribution Noncommercial No-Derivative-Works 3.0 US License. Invent Your Own Computer Games with Python - Chapters Chapter 1 Read online: Chapter 1 - Installing Python Videos: Chapter 2 Read online: Chapter 2 - The Interactive Shell Chapter 3 Read online: Chapter 3 - Strings Download source: hello.py Copy source to clipboard: Use the online diff tool to find typos in your code: hello.py Chapter 4 Read online: Chapter 4 - Guess the Number Download source: guess.py Use the online diff tool to find typos in your code: guess.py Chapter 5 Read online: Chapter 5 - Jokes Download source: jokes.py Use the online diff tool to find typos in your code: jokes.py Chapter 6 Read online: Chapter 6 - Dragon Realm Download source: dragon.py Use the online diff tool to find typos in your code: dragon.py Chapter 7 Read online: Chapter 7 - Using the Debugger Chapter 8 Read online: Chapter 8 - Flow Charts Chapter 9 Read online: Chapter 9 - Hangman Download source: hangman.py Use the online diff tool to find typos in your code: hangman.py Chapter 10 Read online: Chapter 10 - Tic Tac Toe Download source: tictactoe.py Chapter 11 Download source: bagels.py
How to Think Like a Computer Scientist Learning with Python by Allen Downey, Jeff Elkner and Chris Meyers. This book is now available for sale at Lulu.com. How to Think... is an introduction to programming using Python, one of the best languages for beginners. How to Think... is a Free Book available under the GNU Free Documentation License. Please send suggestions, corrections and comments about the book to feedback{at}thinkpython{dot}com. Download The book is available in a variety of electronic formats: Precompiled copies of the book are available in PDF and Postscript . Translations Here are some translations of the book into other (natural) languages: Spanish translation by Gregorio Inda. Other Free Books by Allen Downey are available from Green Tea Press. If you are using this book and would like to make a contribution to support my work, please consider making a donation toward my web hosting bill by clicking on the icon below.
Hacking Secret Ciphers with Python - Chapters Chapter 1 Read online: Chapter 1 - Making Paper Cryptography Tools PDF of the Caesar Cipher WheelInteractive Virtual Cipher Wheel Chapter 2 Read online: Chapter 2 - Downloading and Installing Python Download Python 3Download pyperclip.py Chapter 3 Read online: Chapter 3 - The Interactive Shell Chapter 4 Read online: Chapter 4 - String and Writing Programs Download source: hello.py Copy source to clipboard: Use the online diff tool to find typos in your code: hello.py Chapter 5 Read online: Chapter 5 - The Reverse Cipher Download source: reverseCipher.py Use the online diff tool to find typos in your code: reverseCipher.py Chapter 6 Read online: Chapter 6 - The Caesar Cipher Download source: caesarCipher.py Use the online diff tool to find typos in your code: caesarCipher.py Download source: caesarCipher2.py Use the online diff tool to find typos in your code: caesarCipher2.py Download source: password.py Use the online diff tool to find typos in your code: password.py Download source: password2.py Chapter 7
Dive Into Python 3 You are here: • Dive Into Python 3 Dive Into Python 3 covers Python 3 and its differences from Python 2. Table of Contents (expand) Also available on dead trees! The book is freely licensed under the Creative Commons Attribution Share-Alike license. you@localhost:~$ git clone © 2001–11 Mark Pilgrim
Dive Into Python A modern guide to getting started with Data Science and Python Python has an extremely rich and healthy ecosystem of data science tools. Unfortunately, to outsiders this ecosystem can look like a jungle (cue snake joke). In this blog post I will provide a step-by-step guide to venturing into this PyData jungle. What's wrong with the many lists of PyData packages out there already you might ask? The upside is that the few tools I will introduce already allow you to do most things a data scientist does in his day-to-day (i.e. data i/o, data munging, and data analysis). Installation¶ It has happened quite a few times that people came up to me and said "I heard Python is amazing for data science so I wanted to start learning it but spent two days installing Python and all the other modules!". Fortunately for you, the fine folks at Continuum have created the Anaconda Python distribution that installs most of the PyData stack for you, and the modules it doesn't provide out of the box can easily be installed via a GUI. IPython Notebook¶
A Byte of Python · GitBook "A Byte of Python" is a free book on programming using the Python language. It serves as a tutorial or guide to the Python language for a beginner audience. If all you know about computers is how to save text files, then this is the book for you. For Python version 3 This book will teach you to use Python version 3. Who reads A Byte of Python? Here are what people are saying about the book: This is the best beginner's tutorial I've ever seen! The best thing i found was "A Byte of Python", which is simply a brilliant book for a beginner. Excellent gentle introduction to programming #Python for beginners -- Shan Rajasekaran Best newbie guide to python -- Nickson Kaigi start to love python with every single page read -- Herbert Feutl perfect beginners guide for python, will give u key to unlock magical world of python -- Dilip I should be doing my actual "work" but just found "A Byte of Python". Recently started reading a Byte of python. A Byte of Python, written by Swaroop. I love your book!