PyQt4 tutorial
This is PyQt4 tutorial. The tutorial is suited for beginners and intermediate programmers. After reading this tutorial, you will be able to program non trivial PyQt4 applications. Table of contents E-book A unique e-book covering advanced features of the PyQt4 library: Advanced PyQt4 tutorial. Related tutorials To refresh your knowledge of the Python language there is a Python tutorial on ZetCode. wxPython tutorial, PyGTK tutorial and Tkinter tutorial are tutorials for other popular Python GUI bindings.
2. Writing the Setup Script
The setup script is the centre of all activity in building, distributing, and installing modules using the Distutils. The main purpose of the setup script is to describe your module distribution to the Distutils, so that the various commands that operate on your modules do the right thing. As we saw in section A Simple Example above, the setup script consists mainly of a call to setup(), and most information supplied to the Distutils by the module developer is supplied as keyword arguments to setup(). Here’s a slightly more involved example, which we’ll follow for the next couple of sections: the Distutils’ own setup script. (Keep in mind that although the Distutils are included with Python 1.6 and later, they also have an independent existence so that Python 1.5.2 users can use them to install other module distributions. #! Note that any pathnames (files or directories) supplied in the setup script should be written using the Unix convention, i.e. slash-separated. 2.1. 2.2. 2.3. 2.3.1.
Python Extension Packages for Windows - Christoph Gohlke
by Christoph Gohlke, Laboratory for Fluorescence Dynamics, University of California, Irvine. This page provides 32- and 64-bit Windows binaries of many scientific open-source extension packages for the official CPython distribution of the Python programming language. The files are unofficial (meaning: informal, unrecognized, personal, unsupported, no warranty, no liability, provided "as is") and made available for testing and evaluation purposes. If downloads fail reload this page, enable JavaScript, disable download managers, disable proxies, clear cache, and use Firefox. Please only download files manually as needed. Most binaries are built from source code found on PyPI or in the projects public revision control systems. Refer to the documentation of the individual packages for license restrictions and dependencies. Use pip version 8 or newer to install the downloaded .whl files. Install numpy+mkl before other packages that depend on it. Build Environment
Test-Driven Development with Python
Test-Driven Development with Python Test-Driven Development with Python Harry Percival Gillian McGarvey Rebecca Demarest Wendy Catalano Randy Comer David Futato Copyright © 2014 Harry Percival Printed in the United States of America. O’Reilly books may be purchased for educational, business, or sales promotional use. Nutshell Handbook, the Nutshell Handbook logo, and the O’Reilly logo are registered trademarks of O’Reilly Media, Inc. Many of the designations used by manufacturers and sellers to distinguish their products are claimed as trademarks. While every precaution has been taken in the preparation of this book, the publisher and authors assume no responsibility for errors or omissions, or for damages resulting from the use of the information contained herein. Praise for Test-Driven Development with Python Table of Contents © 2013, O’Reilly Media, Inc.
Python Programming/PyQt4
WARNING: The examples on this page are a mixture of PyQt3 and PyQt4 - use with caution! This tutorial aims to provide a hands-on guide to learn the basics of building a small Qt4 application in Python. To follow this tutorial, you should have basic Python knowledge. However, knowledge of Qt4 is not necessary. >>> import PyQt4 If no error message appears, you should be ready to go. The examples in this tutorial as easy as possible, showing useful ways to write and structure your program. Hello, world! Let's start easy: popping up a window and displaying something. #! About 7 lines of code, and that's about as easy as it can get. A Button[edit] Let's add some interaction! #! You can imagine that coding this way is not scalable nor the way you'll want to continue working. #! GUI Coding[edit] ... so we want to use Qt3 Designer for creating our GUI. pyuic testapp_ui.ui -o testapp_ui.py makes a Python file from it which we can work with. #!
MySQLdb User's Guide
If you want to write applications which are portable across databases, use MySQLdb, and avoid using this module directly. _mysql provides an interface which mostly implements the MySQL C API. For more information, see the MySQL documentation. Okay, so you want to use _mysql anyway. The simplest possible database connection is: import _mysql db=_mysql.connect() This creates a connection to the MySQL server running on the local machine using the standard UNIX socket (or named pipe on Windows), your login name (from the USER environment variable), no password, and does not USE a database. db=_mysql.connect("localhost","joebob","moonpie","thangs") This creates a connection to the MySQL server running on the local machine via a UNIX socket (or named pipe), the user name "joebob", the password "moonpie", and selects the initial database "thangs". We haven't even begun to touch upon all the parameters connect() can take. db=_mysql.connect(passwd="moonpie",db="thangs")
Effective Django — Effective Django
Writing a Package in Python
Home by Tarek Ziadé Intents of this article are: To shorten the time needed to set up everything before starting the real work, in other words the boiler-plate codeTo provide a standardized way to write packagesTo ease the use of a test-driven development approachTo facilitate the releasing process It is organized in the following four parts: A common pattern for all packages that describes the similarities between all Python packages, and how distutils and setuptools play a central role How generative programming ( can help this through the template-based approach The package template creation, where everything needed to work is setSetting up a development cycle A Common Pattern for All Packages The easiest way to organize the code of an application is to split it into several packages using eggs. Applications for a given company can have a set of eggs glued together with a master egg. setup.py, the Script That Controls Everything sdist test
The Python Tutorial — Python v2.7 documentation
Python is an easy to learn, powerful programming language. It has efficient high-level data structures and a simple but effective approach to object-oriented programming. Python’s elegant syntax and dynamic typing, together with its interpreted nature, make it an ideal language for scripting and rapid application development in many areas on most platforms. The Python interpreter and the extensive standard library are freely available in source or binary form for all major platforms from the Python web site, and may be freely distributed. The Python interpreter is easily extended with new functions and data types implemented in C or C++ (or other languages callable from C). This tutorial introduces the reader informally to the basic concepts and features of the Python language and system. For a description of standard objects and modules, see The Python Standard Library. The Glossary is also worth going through.
The Programming Historian - 1st edition
