Book Image

Python GUI Programming - A Complete Reference Guide

By : Alan D. Moore, B. M. Harwani
Book Image

Python GUI Programming - A Complete Reference Guide

By: Alan D. Moore, B. M. Harwani

Overview of this book

A responsive graphical user interface (GUI) helps you interact with your application, improves user experience, and enhances the efficiency of your applications. With Python, you’ll have access to elaborate GUI frameworks that you can use to build interactive GUIs that stand apart from the rest. This Learning Path begins by introducing you to Tkinter and PyQt, before guiding you through the application development process. As you expand your GUI by adding more widgets, you'll work with networks, databases, and graphical libraries that enhance its functionality. You'll also learn how to connect to external databases and network resources, test your code, and maximize performance using asynchronous programming. In later chapters, you'll understand how to use the cross-platform features of Tkinter and Qt5 to maintain compatibility across platforms. You’ll be able to mimic the platform-native look and feel, and build executables for deployment across popular computing platforms. By the end of this Learning Path, you'll have the skills and confidence to design and build high-end GUI applications that can solve real-world problems. This Learning Path includes content from the following Packt products: Python GUI Programming with Tkinter by Alan D. Moore Qt5 Python GUI Programming Cookbook by B. M. Harwani
Table of Contents (28 chapters)
Title Page

Visualizing Data Using the Canvas Widget

With months of experimental data logged in the database, it's time to begin the process of visualizing and interpreting it. Rather than exporting data into a spreadsheet to create charts and graphs, your fellow analysts have asked whether the program itself can create graphical data visualizations. To implement this feature, you're going to need to learn about Tkinter's Canvas widget.

In this chapter, you'll learn the following topics:

  • Using the Canvas widget for drawing and animation
  • Building a simple line graph using Canvas
  • Incorporating more advanced graphs and charts using Matplotlib