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.
Table of Contents Hey there, it appears your Javascript is disabled. That's fine, the site works without it. However, you might prefer reading it with syntax highlighting, which requires Javascript! Introduction Starting Out Starting Out (for real) Modules Syntax in Functions Types (or lack thereof) Recursion Higher Order Functions Errors and Exceptions Functionally Solving Problems A Short Visit to Common Data Structures The Hitchhiker's Guide to Concurrency More On Multiprocessing Errors and Processes Designing a Concurrent Application What is OTP? Clients and Servers Rage Against The Finite-State Machines Event Handlers Who Supervises The Supervisors? Building an Application With OTP Building OTP Applications The Count of Applications Release is the Word Leveling Up in The Process Quest Buckets Of Sockets EUnited Nations Council Bears, ETS, Beets Distribunomicon Distributed OTP Applications Common Test for Uncommon Tests Mnesia And The Art of Remembering Type Specifications and Erlang Conclusion Postscript: Maps
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 but is also available as free textual, website, or video content. 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." You can find many free Python books online. 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 Python 3. Resources for Younger Learners Tutorials and Websites Tutorial Aggregators / lists Apps Videos Email Academies Tools
(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]
jQuery 1.4 iPhone reference app - O! Mr Speaker! Thursday, January 14, 2010 [English got you down? Try this post in Belorussian!] Welcome to the year twenty hundred and ten! As a very early christmas present, the jQuery team have announced they'll be dropping the 1.4 release on us in the next couple of days. To help you get your head around the reams of new information, I've created a neat-o reference app for your iPhone - so now you've got no excuse not to know what jQuery.noop, .nextUntil(), or .unwrap() does! To install it, go here on your iPhone then click "+" and "Add to Home Screen" for fullscreen app-y goodness.Please note! The application uses the jQuery touch plugin to appear all native-y, and the offline abilities of HTML5 to store the data for when you feel like reading jQuery docs on the bus. I'm sure that at the moment some methods that will be missing or incomplete - because of my dodgy parsing, changing docs, and poor QA skills... fixed in the next version fo' sure ;)
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
CouchDB: The Definitive Guide 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 Porting from Python 2 to Python 3 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 Issue Tracker
The GNU C Reference Manual The GNU C Reference Manual This is the GNU C reference manual. Preface This is a reference manual for the C programming language as implemented by the GNU Compiler Collection (GCC). The 1989 ANSI C standard, commonly known as “C89” The 1999 ISO C standard, commonly known as “C99”, to the extent that C99 is implemented by GCC The current state of GNU extensions to standard C This manual describes C89 as its baseline. By default, GCC will compile code as C89 plus GNU-specific extensions. The C language includes a set of preprocessor directives, which are used for things such as macro text replacement, conditional compilation, and file inclusion. Credits Contributors who have helped with writing, editing, proofreading, ideas, typesetting, or administrative details include: Diego Andres Alvarez Marin, Nelson H. Some example programs are based on algorithms in Donald Knuth's The Art of Computer Programming. Please send bug reports and suggestions to gnu-c-manual@gnu.org. 1 Lexical Elements tokens .
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PEP 3143 -- Standard daemon process library Interface A new package, daemon, is added to the standard library. A class, DaemonContext, is defined to represent the settings and process context for the program running as a daemon process. DaemonContext objects A DaemonContext instance represents the behaviour settings and process context for the program when it becomes a daemon. The behaviour and environment is customised by setting options on the instance, before calling the open method. Each option can be passed as a keyword argument to the DaemonContext constructor, or subsequently altered by assigning to an attribute on the instance at any time prior to calling open. foo = daemon.DaemonContext(wibble=bar, wubble=baz) foo.open() is equivalent to: foo = daemon.DaemonContext() foo.wibble = bar foo.wubble = baz foo.open() The following options are defined. files_preserve List of files that should not be closed when starting the daemon. chroot_directory Full path to a directory to set as the effective root directory of the process. umask uid