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Python GUI Programming with Tkinter

Python GUI Programming with Tkinter

By : D. Moore
3.9 (22)
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Python GUI Programming with Tkinter

Python GUI Programming with Tkinter

3.9 (22)
By: D. Moore

Overview of this book

Tkinter is a lightweight, portable, and easy-to-use graphical toolkit available in the Python Standard Library, widely used to build Python GUIs due to its simplicity and availability. This book teaches you to design and build graphical user interfaces that are functional, appealing, and user-friendly using the powerful combination of Python and Tkinter. After being introduced to Tkinter, you will be guided step-by-step through the application development process. Over the course of the book, your application will evolve from a simple data-entry form to a complex data management and visualization tool while maintaining a clean and robust design. In addition to building the GUI, you'll learn how to connect to external databases and network resources, test your code to avoid errors, and maximize performance using asynchronous programming. You'll make the most of Tkinter's cross-platform availability by learning how to maintain compatibility, mimic platform-native look and feel, and build executables for deployment across popular computing platforms. By the end of this book, you will have the skills and confidence to design and build powerful high-end GUI applications to solve real-world problems.
Table of Contents (17 chapters)
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What this book covers

Chapter 1, Introduction to Tkinter, introduces you to the basics of the Tkinter library and walks you through creating a Hello World application. It will also introduce you to IDLE as an example of a Tkinter application.

Chapter 2, Designing GUI Applications with Tkinter, goes through the process of turning a set of user requirements into a design that we can implement.

 Chapter 3, Creating Basic Forms with Tkinter and ttk Widgets, shows you how to create a basic data entry form that appends data to a CSV file.

Chapter 4, Reducing User Error with Validation and Automation, demonstrates how to automatically populate and validate data in our form's inputs.

Chapter 5, Planning for the Expansion of Our Application, familiarizes you with how to break a small script into multiple files and build a Python module that you can import. It also contains some general advice on how to manage a larger code base.

Chapter 6, Creating Menus with Menu and Tkinter Dialogs, outlines the creation of a main menu using Tkinter. It will also show the use of several built-in dialog types to implement common menu functionality.

Chapter 7, Navigating Records with Treeview, details the construction of a records navigation system using the Tkinter Treeview and the conversion of our application from append-only to full read, write, and update capabilities.

Chapter 8, Improving the Look with Styles and Themes, informs you of how to change the colors, fonts, and widget styles of your application, and how to use them to make your application more usable.

Chapter 9, Maintaining Cross-Platform Compatibility, goes over Python and Tkinter techniques to keep your application running smoothly across Windows, macOS, and Linux systems.

Chapter 10, Creating Automated Tests with unittest, discusses how to verify your code with automated unit tests and integration tests.

Chapter 11, Improving Data Storage with SQL, takes you through the conversion of our application from the CSV flat-files to SQL data storage. You'll learn all about SQL and relational data models as well.

Chapter 12, Connecting to the Cloud, covers how to work with cloud services such as web services and FTP to download and upload data.

Chapter 13, Asynchronous Programming with Thread and Queue, explains how to use asynchronous and multithreaded programming to keep our application responsive during long-running processes.

Chapter 14, Visualizing Data Using the Canvas Widget, teaches you how to work with the Tkinter Canvas widget to create visualizations and animations.

Chapter 15, Packaging with setuptools and cx_Freeze, explores preparing your Python application for distribution as a Python package or a standalone executable.

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