Book Image

wxPython Application Development Cookbook

By : Cody Precord
Book Image

wxPython Application Development Cookbook

By: Cody Precord

Overview of this book

wxPython is a GUI toolkit for the Python programming language built on top of the cross-platform wxWidgets GUI libraries. wxPython provides a powerful set of tools that allow you to quickly and efficiently building applications that can run on a variety of different platforms. Since wxWidgets provides a wrapper around each platform’s native GUI toolkit, the applications built with wxPython will have a native look and feel wherever they are deployed. This book will provide you with the skills to build highly functional and native looking user interfaces for Python applications on multiple operating system environments. By working through the recipes, you will gain insights into and exposure to creating applications using wxPython. With a wide range of topics covered in the book, there are recipes to get the most basic of beginners started in GUI programming as well as tips to help experienced users get more out of their applications. The recipes will take you from the most basic application constructs all the way through to the deployment of complete applications.
Table of Contents (17 chapters)
wxPython Application Development Cookbook
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
Index

Giving busy feedback


Sometimes, applications require some time to process a command, and while doing so, the user has to be given some feedback so that he/she doesn't think that the application is frozen. This can be accomplished in several ways, but one common way is to provide animated feedback in the form of a progress bar or gauge. In this recipe, you will see how to animate a gauge to give feedback while a long-running task is completed on a background thread.

How to do it…

Here are the steps to be performed:

  1. First, we need to import some extra modules for this recipe, so let's take a quick look at the needed imports:

    import threading
    import wx
  2. Next, we will use a background thread to do the calculations. For this, see the following:

    class FibonacciCalc(threading.Thread):
        def __init__(self, n, completeFunc):
            super(FibonacciCalc, self).__init__()
            assert callable(completeFunc)
            self.n = n
            self.complete = completeFunc
    
        def run(self):
            def fib(n)...