- #HOW TO RUN PRE INSTALL PYTHON ON MAC HOW TO#
- #HOW TO RUN PRE INSTALL PYTHON ON MAC FOR MAC OS X#
- #HOW TO RUN PRE INSTALL PYTHON ON MAC PRO#
- #HOW TO RUN PRE INSTALL PYTHON ON MAC SOFTWARE#
- #HOW TO RUN PRE INSTALL PYTHON ON MAC CODE#
As you can see, for a simple program that is being ported from Linux, it's the same thing that you already have in your "scripts" parameter. The "windows" parameter specifies the script that py2exe should use to launch the actual program. The last two lines were added to accommodate py2exe. Most of that is pretty much standard distutils. The following example shows my setup.py file: from re import setupĪuthor="Ryan General Public License (GPL)",
#HOW TO RUN PRE INSTALL PYTHON ON MAC HOW TO#
If your program is simple and you already know how to use distutils, this shouldn't be terribly hard. You will need to adapt your setup.py script so that it can provide proper instructions to py2exe. An installer for py2exe is available from the SourceForge website. This is done with a utility called py2exe that leverages Python's distutils framework. Now that you have a working PyQt environment, you need to package up the application so that you can distribute it to users and make it possible for them to run it without having to install all of the dependencies. These can be found in the site-packagesPyQt4examples folder. There are several example scripts that come bundled with the PyQt installation. If your PyQt environment installed correctly, you should be able to run the program by double-clicking the. You can test it by making a simple PyQt application with a few widgets in a single. These components should be enough to give you a fully functional environment for running PyQt applications.
You'll want to get the Windows installer that is compatible with Python 2.6 it's listed at the bottom of the Binary Packages section. The next step is installing the Python bindings, which can be obtained from the download page at the PyQt website. Use the binary installer for Windows from the Python website. Next, you will need to install Python 2.6.1.
#HOW TO RUN PRE INSTALL PYTHON ON MAC SOFTWARE#
Start by downloading and installing the standard Qt SDK from the Qt Software website.
To build a distributable PyQt package for Windows, you first need to set up a working PyQt execution environment. You can use it to follow along with this tutorial, or you can use your own code.
#HOW TO RUN PRE INSTALL PYTHON ON MAC 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. 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 RUN PRE INSTALL PYTHON ON MAC PRO#
My computing environment is a quad core Mac Pro configured to dual-boot OS X and openSUSE 11.1.
#HOW TO RUN PRE INSTALL PYTHON ON MAC 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. 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.
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