Changes to the core language, the standard library, and some welcome performance improvements make Python 3.1 a balanced and worthwhile release.
Python 3.0 has been released. Are you ready to migrate your code? Find out what you need to know to make the switch.
Explore Python 3.0's new support for per-user installations, an official with statement, property decorators, keyword-only arguments, dictionary changes, and C API changes.
The changes to the standard library in Python 3.0 truly "clean house." The results are both more usable and less cluttered.
Python 3.0 makes critical—and not-backwardly-compatible—changes to data types. Find out how these changes will affect your code.
In this deep comparison between Python 2.x and Python 3.0, discover the far-reaching changes to the Python core language, type system, and the standard library, how they'll affect your code, and guidelines for migration.
WindowMover demonstrates techniques that let you take ultimate control of your desktop. While it focuses on managing window positions for dual monitor systems, you can easily borrow from or extend it for general-purpose UI automation.
A shared clipboard lets you copy and paste data seamlessly across machines—it's the perfect productivity tool if you work with multiple machines in parallel.
The 2.5 version of Python offered lots of useful enhancements. In this article, you'll learn about some specific modules, as well as performance improvements, that are likely to bring big smiles to the faces of many Python developers.
The freshly minted 2.5 version of Python has lots of goodies, but the three in this article are the cream of the crop. Find out how ctypes, pysqlite, and ElementTree can save you time and aggravation in this extensive article with a ton of great sample code.
Python 2.5 still has the smell of fresh paint but it's the perfect time to drill down on the most important new features in this comprehensive release. Read on for detailed explanations and examples of exception handling, resource management, conditional expressions, and more.
"Marching ants" are a common UI feature in image editing programs but giving the ants a little more visual texture is a harder problem than you'd ever dream. This article discusses four different algorithms for making elegant, 3D ants with varying levels of performance, accuracy, and control.
Advanced techniques such as metaclasses, code injection, and call-stack walking harden Python for the enterprise. One novel use of Python's dynamic nature allows you to add private code access checking. Follow along to learn how.
Python, the open source scripting language, has grown tremendously popular in the last five yearsand with good reason. Python boasts a sophisticated object model that wise developers can exploit in ways that Java, C++, and C# developers can only dream of.