This article shows you how choosing Python and Eclipse as the core technologies for Nokia N810 application development makes it easy to create unit tests to add built-in testing to the end product. See how easy it is to configure a development environment targeted at the Nokia N810 Internet Tablet, including setting up Eclipse on a target development machine for the Python language.
The JyDT plug-in enables Eclipse to work as a Jython/CPython IDE. In this tutorial learn how to configure the JyDT and a brief description of it. Learn to use the PyDev perspective and explorer, compile and run code, use the debugger, do unit testing, refactor, manage Python projects, and use the editor and IDE.
The XO laptop intended (of the One-Laptop-Per-Child initiative) uses GNU/Linux as the underlying operating system, and includes an application environment written in Python with a human interface called Sugar. Explore the Sugar APIs and learn how to develop and debug a graphical activity in Sugar using Python.
In this tutorial, you first learn a few Python basics and see why Python makes a good network programming language. Then you move on to the basic sockets features of Python, using a sample chat application as a guide, and look at several other, high-level, classes that provide asynchronous communications.
People are always asking how to use Python in Web programming. As a general rule the only option to use Python in shared hosts is through CGI. This tutorial is just about how to use CGI with Python
wxPython is a toolkit for creating cross platform graphical user interfaces (GUI) for the programming language Python. wxGlade is a GUI designer for wxPython
The Qt toolkit is a widely-used cross-platform GUI toolkit, available for Windows, Linux, Mac OSX, and handheld platforms. QT has a well-structured, but flexible, object-oriented organization, clear documentation, and an intuitive API. This article looks at the Qt library, with a focus on the PyQt bindings that let Python programmers access Qt functionality.
This column continues the introduction to functional programming (FP) in Python. The introduction to different paradigms of program problem-solving demonstrates several intermediate and advanced FP concepts. Article includes code snipets.
Although users usually think of Python as a procedural and object-oriented language, it actually contains everything you need for a completely functional approach to programming. This article discusses general concepts of functional programming, and illustrates ways of implementing functional techniques in Python
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