Python Tutorials - index of FREE Tutorials for Python

(33)Basics	(5)CMS Systems
(0)Game Creation	(18)General Development
(0)Network Communication

	Python for Beginners From Udemy (Python Basics)
Python is an interpreted, object-oriented, high-level programming language with dynamic semantics.

Python Testing: Coverage Analysis From Packt Publishing (Python Basics)

Coverage analysis is measuring which lines in a program are run and which lines aren't. This type of analysis is also known as 'code coverage', or more simply 'coverage'. In this article by Greg Lee Turnquist, author of Python Testing Cookbook, we will cover: * Building a network management application * Installing and running coverage on your test suite * Generating an HTML report using coverage * Generating an XML report using coverage * Getting nosy with coverage

Sage: Tips and Tricks From Packt Publishing (Python General Development)

Results matter, whether you are a mathematician, scientist, or engineer. The time that you spend doing tedious mathematical calculations could be spent in more productive ways. Sage is an open-source mathematical software system that helps you perform many mathematical tasks. There is no reason to compute integrals or perform algebraic manipulations by hand when software can perform these tasks more quickly and accurately. In this article we will take a look at some tips and tricks for working with Sage and using Python more effectively.

Python: Using doctest for Documentation From Packt Publishing (Python General Development)

Python provides the useful ability to embed comments inside functions that are accessible from a Python shell. These are known as docstrings. A docstring provides the ability to embed not only information, but also code samples that are runnable.In this article, we will explore different ways to use doctest to develop documentation. In this article by Greg Lee Turnquist, author of Python Testing Cookbook, we will cover: * Documenting the basics * Catching stack traces * Running doctests from the command line * Printing out all your documentation including a status report

Testing in Python using doctest From Packt Publishing (Python General Development)

Testing has always been a part of software development. Testing includes many different styles including unit testing, integration testing, acceptance testing, smoke testing, load testing, and countless others. In this article by Greg Lee Turnquist, author of Python Testing Cookbook, we will cover: * Coding a test harness for doctest * Filtering out test noise * Testing the edges * Testing corner cases by iteration * Getting nosy with doctest

Python Multimedia: Enhancing Images From Packt Publishing (Python General Development)

Python is a high-level, object-oriented language with a comprehensive standard library. Typically, one can develop complex applications in Python very quickly compared to some other languages. Multimedia applications are used in a broad spectrum of fields. Writing applications that work with images, videos, and other sensory effects is great. Not every application gets to make full use of audio/visual effects, but a certain amount of multimedia makes any application very appealing. In this article by Ninad Sathaye, author of Python Multimedia, we shall cover the following recipes: * Adjusting brightness and contrast * Swap colors within an image * Change the color of a flower

	python on google app engine: creating blog engine. part 3 From CodeCall Programming Forum (Python Basics)
in this part i am going to discuss some limitations i met at gae. to be honest there are a lot of them, but here i listed only issues for which nice workaround was found.

	Training Binary Text Classifiers From Streamhacker (Python General Development)
Use python nltk and nltk-trainer to train binary text classifiers

Animating Graphic Objects using Python From Packt Publishing (Python General Development)

The previous article, Python Graphics: Animation Principles, starts with examples of simple sequences of a circle in different positions and systematically progresses to smoothly-moving animations of elastic balls bouncing inside a gravity field. In this article by Mike Ohlson de Fine, author of Python 2.6 Graphics Cookbook, we will cover: * Colliding balls with tracer trails * Elastic ball against ball collisions * Dynamic debugging * Trajectory tracing * Rotating a line and vital trigonometry * Rotating lines which rotate lines * A digital flower

	Python Graphics: Animation Principles From Packt Publishing (Python Basics)
In this article by Mike Ohlson de Fine, author of Python 2.6 Graphics Cookbook, we will cover: * Static shifting of a ball * Timed shifting of a ball * Animation - timed draw-and-erase cycles * Two balls moving unimpeded * A ball that bounces * Bouncing in a gravitational field

	python on google app engine: creating blog engine. part 2 From CodeCall Programming Forum (Python Basics)
in last part we configured very basic flask application for google app engine. in this part we will add some models and forms to our application. let's start with model post which represents blog post. create file blog/models.py:

	python on google app engine: creating blog engine From CodeCall Programming Forum (Python Basics)
i am going to write series of articles describing process of creating a blog engine for google app engine. i suppose that you have some experience with python and web frameworks around it. i will try to cover non-trivial things that you will meet on gae (emulating joins on datastore, using blobstore, queues, map reduce etc), but i will also describe some basic things that are specific to gae.

Using Execnet for Parallel and Distributed Processing with NLTK From ...site title missing... (Python General Development)

Natural Language Processing is used everywhere?in search engines, spell checkers, mobile phones, computer games, and even in your washing machine. Python's Natural Language Toolkit (NLTK) suite of libraries has rapidly emerged as one of the most efficient tools for Natural Language Processing. In this article by Jacob Perkins, author of the book Python Text Processing with NLTK 2.0 Cookbook, we will see how to use execnet for parallel and distributed processing with NLTK.

	Python Text Processing with NLTK: Storing Frequency Distribution From ...site title missing... (Python General Development)
In this article, we will cover: 1.Storing a frequency distribution in Redis 2.Storing a conditional frequency distribution in Redis 3.Storing an ordered dictionary in Redis 4.Distributed word scoring with Redis and execnet

	developing a basic irc bot with python From CodeCall Programming Forum (Python Basics)
ok here is my attempt at a python irc bot tutorial.

	advanced python, part 1: extending python with c From CodeCall Programming Forum (Python Basics)
this lesson in advanced python is going to teach c programmers how to implement some c programs in python, on windows and linux, with only free compilers. i used mingw for windows which uses gcc, and just gcc on linux. all of this was put together by the distutils module.

	learning pygame(simple 2d), part 5 checking for winners and finishing up From CodeCall Programming Forum (Python Basics)
you now have an almost complete pygame game, but you still can't win! here is what you have now.

	learning pygame(simple 2d), part 4 displaying x o status From CodeCall Programming Forum (Python Basics)
now that we have our basics of clicking and a basic screen, let's display some characters! right now we have:

	learning pygame(simple 2d), part 3 recognizing clicks From CodeCall Programming Forum (Python Basics)
now that you have a screen we need to do some work on the clicking a square and displaying the result. so far we have:

	learning pygame(simple 2d), part 2 initializing the board and showing it From CodeCall Programming Forum (Python Basics)
what we have now is the simplest of the simple(almost) of pygame programs.

	learning pygame(simple 2d), part 1 From CodeCall Programming Forum (Python Basics)
to start out with, pygame is a simple 2d game library for python.

Learn the basics of Unit Testing Django applications From ...site title missing... (Python Basics)

This chapter covers the basics of unit testing Django applications. It provides some of the additional features available with tests, in particular, features related to loading test data. This chapter provides information regarding converting the previously written doctests for the survey model to unit tests. It explains the extent to which unit tests are susceptible to the same issues. This chapter will help build a strong foundation in order to investigate more advanced features that are available to Django unit tests.

	Learn to personalize your Vim editor with Vim 7.2 From ...site title missing... (Python Basics)
Vim users will learn about how basic modifications of font and color scheme can give their editor a personalized look. Readers will be able add their own menu to the menu bar as well as add icons that are full of functionality to the toolbar. They will also learn how to use the spell checker to follow a preferred language.

Creating, Customizing, and Assigning Portlets for Plone From Packtpub.com (Python CMS Systems)

This article by Juan Pablo Giménez and Marcos F. Romero, authors of Plone 3.3 Products Development Cookbook will give you step-by-step instructions for adding portlets. Portlets are used to provide contextual information about the main contents of a page. In this article, we will cover: # Creating a portlet package # Customizing a new portlet according to our requirements # Testing portlets # Assigning portlets automatically

Learn the basics of Unit Testing Django applications From ...site title missing... (Python General Development)

This chapter covers the basics of unit testing Django applications. It provides some of the additional features available with tests, in particular, features related to loading test data. This chapter provides information regarding converting the previously written doctests for the survey model to unit tests. It explains the extent to which unit tests are susceptible to the same issues. This chapter will help build a strong foundation in order to investigate more advanced features that are available to Django unit tests.