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

Modeling relational data

Our application currently stores data in a single CSV file; a file like this is often called a flat file, because the data has been flattened to two dimensions. While this format works acceptably for our application and could be translated directly to an SQL table, a more accurate and useful data model requires more complexity.

Normalization

The process of breaking out a flat data file into multiple tables is called normalization. Normalization is a process involving a series of levels called normal forms which progressively remove duplication and create a more precise model of the data we're storing. Although there are many normal forms, most issues encountered in common business data can be handled...