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Building Cross-Platform GUI Applications with Fyne

You're reading from   Building Cross-Platform GUI Applications with Fyne Create beautiful, platform-agnostic graphical applications using Fyne and the Go programming language

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Product type Paperback
Published in Jan 2021
Publisher Packt
ISBN-13 9781800563162
Length 318 pages
Edition 1st Edition
Languages
Tools
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Author (1):
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Andrew Williams Andrew Williams
Author Profile Icon Andrew Williams
Andrew Williams
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Table of Contents (18) Chapters Close

Preface 1. Section 1: Why Fyne? The Reason for Being and a Vision of the Future
2. Chapter 1: A Brief History of GUI Toolkits and Cross-Platform Development FREE CHAPTER 3. Chapter 2: The Future According to Fyne 4. Section 2: Components of a Fyne App
5. Chapter 3: Window, Canvas, and Drawing 6. Chapter 4: Layout and File Handling 7. Chapter 5: Widget Library and Themes 8. Chapter 6: Data Binding and Storage 9. Chapter 7: Building Custom Widgets and Themes 10. Section 3: Packaging and Distribution
11. Chapter 8: Project Structure and Best Practices 12. Chapter 9: Bundling Resources and Preparing for Release 13. Chapter 10: Distribution – App Stores and Beyond 14. Other Books You May Enjoy Appendix A: Developer Tool Installation 1. Appendix B: Installing Mobile Build Tools 2. Appendix C: Cross-Compiling

Chapter 6: Data Binding and Storage

In the previous chapter, we learned that widgets can be controlled manually by application code. As we start looking at more complex applications, it's common for developers to want to display or manipulate a dynamic data source. The Fyne toolkit provides data and storage APIs that automate a lot of this work.

In this chapter, we're going to explore the ways that data is handled within the Fyne toolkit. We will cover the following topics:

  • Binding data to widgets
  • Adapting data types for display
  • Binding complex data types
  • Storing data using the Preferences API

By the end of the chapter, we will know how to make use of the data binding and storage APIs to create an app that helps track water consumption. It will store information on the local device and use APIs to explore how to minimize the coding required to manage data.

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