To build a distributable PyQt package for Windows, you first need to set up a working PyQt execution environment.
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You can use it to follow along with this tutorial, or you can use your own code. I have published the complete source code of the program on Launchpad. The program consists of one module of Python code which contains the application logic and a few basic user interface forms that I made with the Qt Designer program. The app has a few simple features like support for receiving images via drag-and-drop, and it can proportionally resize them before uploading. The Ars CMS is built on Movable Type, which means that it supports the MetaWeblog XML-RPC API, and my app lets you upload images to any standard Movable Type or WordPress blog that supports the API. My test application, which I call Orbital Liftr, is a simple utility that I made for batch uploading graphics to Ars Technica's content management system.
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I do most of my actual development in Linux, but you can do it pretty comfortably on any of the platforms. For Windows, I'm running XP in VirtualBox.
#HOW TO INSTALL PYQT5 MULTIMEDIAW PRO#
My computing environment is a quad core Mac Pro configured to dual-boot OS X and openSUSE 11.1.
#HOW TO INSTALL PYQT5 MULTIMEDIAW FOR MAC OS X#
The initial setup process for Mac OS X will require a lot of very heavy compilation, so you are going to be in for a world of pain and a very long wait if you try to do this on a Mac mini. The easiest way to accomplish this is to use a Mac and either triple-boot or virtualize Windows and Linux. Now that I have unlocked the toolkit's dark mysteries, I can show you the hidden secrets that will allow you to achieve mastery of the alchemical art of cross-platform PyQt application deployment.įirst, you'll need access to each platform for which you want to build redistributable packages. I declared victory last week after spending several hours battling with MacPorts and distutils.
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The downside, however, is that packaging PyQt applications so that they can be deployed to users on Windows and Mac OS X is an immensely frustrating and arcane process. Qt applications that are written in C++ are easy to compile and deploy across all three platforms, but what if you don't like C++? I prefer Python, a dynamic programming language with a richly expressive syntax and exceptionally powerful support for introspection.įortunately, there are cross-platform Python bindings for Qt. It provides native-looking widgets and tight integration with the underlying platform on Windows, Linux, and Mac OS X. The open source Qt development toolkit is a popular choice for cross-platform development.