background preloader


Facebook Twitter

Book - Natural Language Toolkit. Natural Language Processing with Python – Analyzing Text with the Natural Language Toolkit Steven Bird, Ewan Klein, and Edward Loper The NLTK book is currently being updated for Python 3 and NLTK 3.

Book - Natural Language Toolkit

This is work in progress; chapters that still need to be updated are indicated. The first edition of the book, published by O'Reilly, is available at A second edition of the book is anticipated in early 2016. Bruce Eckel's MindView, Inc: Thinking in Python. You can download the current version of Thinking in Python here.

Bruce Eckel's MindView, Inc: Thinking in Python

This includes the BackTalk comment collection system that I built in Zope. The page describing this project is here. The current version of the book is 0.1. This is a preliminary release; please note that not all the chapters in the book have been translated. The source code is in the download package. This is not an introductory Python book. However, Learning Python is not exactly a beginning programmer's book, either (although it's possible if you're dedicated). Revision History Revision 0.1.2, December 31 2001. Invent Your Own Computer Games with Python.

Python for Fun. This collection is a presentation of several small Python programs.

Python for Fun

They are aimed at intermediate programmers; people who have studied Python and are fairly comfortable with basic recursion and object oriented techniques. Each program is very short, never more than a couple of pages and accompanied with a write-up. I have found Python to be an excellent language to express algorithms clearly. Some of the ideas here originated in other programs in other languages. But in most cases I developed code from scratch from just an outline of an idea. From many years of programming these are some of my favorite programs. Many thanks to Paul Carduner and Jeff Elkner for their work on this page, especially for Paul's graphic of Psyltherin (apologies to Harry Potter) and to the Twisted developement team for their Lore documentation generator to which all the other web pages in this collection have been recently adapted. Chris Meyers. How to Think Like a Computer Scientist.

Learning with Python by Allen Downey, Jeff Elkner and Chris Meyers.

How to Think Like a Computer Scientist

This book is now available for sale at Hardcopies are no longer available from Green Tea Press. 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: 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.

Data Structures and Algorithms with Object-Oriented Design Patterns in Python. Book.dvi. Python Bibliotheca. Untitled. Python. You have seen how you can reuse code in your program by defining functions once.


What if you wanted to reuse a number of functions in other programs that you write? As you might have guessed, the answer is modules. There are various methods of writing modules, but the simplest way is to create a file with a .py extension that contains functions and variables. Another method is to write the modules in the native language in which the Python interpreter itself was written. For example, you can write modules in the C programming language and when compiled, they can be used from your Python code when using the standard Python interpreter.

A module can be imported by another program to make use of its functionality. Example (save as import sys print('The command line arguments are:')for i in sys.argv: print i print '\n\nThe PYTHONPATH is', sys.path, '\n' How It Works First, we import the sys module using the import statement.

410 Gone. 410 Gone.