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Python 2.6 Quick Reference

Python 2.6 Quick Reference
Style chooser: Modern, Modern B&W, Modern Colored, Classic, High contrast or Printing [Hint: Use styles Modern B&W or Printing to print. If you get problems, try printing the PDF versions instead] Contents Front matter Version 2.6 (What's new?) Creative Commons License. Last updated on July 31, 2010. Feb 10, 2009 upgraded by Richard Gruet and Josh Stone for Python 2.6 Dec 14, 2006 upgraded by Richard Gruet for Python 2.5 Feb 17, 2005, upgraded by Richard Gruet for Python 2.4 Oct 3, 2003 upgraded by Richard Gruet for Python 2.3 May 11, 2003, rev 4 upgraded by Richard Gruet for Python 2.2 (restyled by Andrei) Aug 7, 2001 upgraded by Simon Brunning for Python 2.1 May 16, 2001 upgraded by Richard Gruet and Simon Brunning for Python 2.0 Jun 18, 2000 upgraded by Richard Gruet for Python 1.5.2 Oct 20, 1995 created by Chris Hoffmann for Python 1.3 Color coding: Features added in 2.6 since 2.5 Features added in 2.5 since 2.4 Features added in 2.4 since 2.3 A link Invocation Options python[w] [-BdEhimOQsStuUvVWxX3?] Related:  python

Learning Python Design Patterns Through Video Lectures In my previous post about learning Python programming through video lectures I stopped at three lectures on Design Patterns. This time I continue from there. If you don't know what a Design Pattern is, think of it as a simple solution to a specific problem that occurs very frequently in software design. For example, suppose you use a bunch of unrelated pieces of code. It is a nice idea to bring the unrelated pieces of code together in a unified interface. This design pattern is called Facade. The three lectures are given by Alex Martelli who works as "Über Tech Lead" for Google. Python Design Patterns, Part I Alex briefly covers the history and main principles of Design Patterns and quickly moves to discussing Structural and Behavioral DPs in Python. Interesting ideas from the lecture: Python Design Patterns, Part II In this lecture Alex discusses behavioral patterns. Python Design Patterns, A Recap This video lecture was presented at Google Developers day.

About Python · A Byte of Python Story behind the name Features of Python Simple Easy to Learn Free and Open Source High-level Language Portable Interpreted Object Oriented Extensible Embeddable Extensive Libraries Summary Python 3 versus 2 What Programmers Say Eric S. BeginnersGuide/NonProgrammers Python for Non-Programmers If you've never programmed before, the tutorials on this page are recommended for you; they don't assume that you have previous experience. If you have programming experience, also check out the BeginnersGuide/Programmers page. Books Each of these books can be purchased online and is also available as a completely free website. Automate the Boring Stuff with Python - Practical Programming for Total Beginners by Al Sweigart is "written for office workers, students, administrators, and anyone who uses a computer to learn how to code small, practical programs to automate tasks on their computer." Interactive Courses These sites give you instant feedback on programming problems that you can solve in your browser. CheckiO is a gamified website containing programming tasks that can be solved in either Python 2 or 3. K-12 Oriented (for Children) Build a "Pypet" Learn programming fundamentals in Python while building a tamagotchi style "Pypet" by Tatiana Tylosky. Videos

(the eff-bot guide to) The Standard Python Library Overviews (15) Core Modules [core-modules-index]Data Representation [data-representation-index]Data Storage [data-storage-index]File Formats [file-formats-index]Implementation Support Modules [implementation-support-modules-index]Internationalization [internationalization-index]Mail and News Message Processing [mail-and-news-message-processing-index]More Standard Modules [more-standard-modules-index]Multimedia Modules [multimedia-modules-index]Network Protocols [network-protocols-index]Other Modules [other-modules-index]Platform Specific Modules [platform-specific-modules-index]Preface [preface-index]Threads and Processes [threads-and-processes-index]Tools and Utilities [tools-and-utilities-index] Articles (249) The aifc module [aifc]The anydbm module [anydbm]The array module [array]The asynchat module [asynchat]The asyncore module [asyncore]The atexit module [atexit]The audiodev module [audiodev] The keyword module [keyword]The knee module [knee]

Syllabus | Introduction to Computer Science and Programming Invent Your Own Computer Games with Python s Python Class  |  Python Education  |  Google Developers Welcome to Google's Python Class -- this is a free class for people with a little bit of programming experience who want to learn Python. The class includes written materials, lecture videos, and lots of code exercises to practice Python coding. These materials are used within Google to introduce Python to people who have just a little programming experience. The first exercises work on basic Python concepts like strings and lists, building up to the later exercises which are full programs dealing with text files, processes, and http connections. The class is geared for people who have a little bit of programming experience in some language, enough to know what a "variable" or "if statement" is. To get started, the Python sections are linked at the left -- Python Set Up to get Python installed on your machine, Python Introduction for an introduction to the language, and then Python Strings starts the coding material, leading to the first exercise.

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

Improve Your Python: Python Classes and Object Oriented Programming The class is a fundamental building block in Python. It is the underpinning for not only many popular programs and libraries, but the Python standard library as well. Understanding what classes are, when to use them, and how they can be useful is essential, and the goal of this article. In the process, we'll explore what the term Object-Oriented Programming means and how it ties together with Python classes. Everything Is An Object... What is the class keyword used for, exactly? What do we mean by "logical grouping"? Regardless, classes are a modeling technique; a way of thinking about programs. ..So Everything Has A Class? Classes can be thought of as blueprints for creating objects. class Customer(object): """A customer of ABC Bank with a checking account. The class Customer(object) line does not create a new customer. The jeff object, known as an instance, is the realized version of the Customerclass. self? So what's with that self parameter to all of the Customer methods? __init__ Wow.

Documentation Index Notice: While Javascript is not essential for this website, your interaction with the content will be limited. Please turn Javascript on for the full experience. Beginner Moderate Advanced General Python 3.x Resources Python 2.x Resources Can’t find what you’re looking for? >>> Python Needs You Open source software is made better when users can easily contribute code and documentation to fix bugs and add features. Contribute to Python Bug Tracker AI Materials Python Basics Required Files You can download all of the files associated with the Python mini-tutorial as a zip archive: python_basics.zip. If you did the unix tutorial in the previous tab, you've already downloaded and unzipped this file. Table of Contents The programming assignments in this course will be written in Python, an interpreted, object-oriented language that shares some features with both Java and Scheme. We encourage you to type all python shown in the tutorial onto your own machine. You may find the Troubleshooting section helpful if you run into problems. Invoking the Interpreter Python can be run in one of two modes. You invoke the interpreter by entering python at the Unix command prompt. [cs188-ta@nova ~]$ python Python 2.6.5 (r265:79063, Jan 14 2011, 14:20:15) [GCC 4.4.1] on sunos5 Type "help", "copyright", "credits" or "license" for more information Operators The Python interpreter can be used to evaluate expressions, for example simple arithmetic expressions. Lists

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