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Expert Delphi

You're reading from   Expert Delphi Robust and fast cross-platform application development

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Product type Paperback
Published in Feb 2024
Publisher Packt
ISBN-13 9781805121107
Length 424 pages
Edition 2nd Edition
Languages
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Authors (2):
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Marco Cantù Marco Cantù
Author Profile Icon Marco Cantù
Marco Cantù
Paweł Głowacki Paweł Głowacki
Author Profile Icon Paweł Głowacki
Paweł Głowacki
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Toc

Table of Contents (21) Chapters Close

Preface 1. Part 1: Building Blocks FREE CHAPTER
2. Chapter 1: Fasten Your Seat Belts 3. Chapter 2: Mind Your Language 4. Chapter 3: Packing Up Your Toolbox 5. Chapter 4: Using the Parallel Programming Library 6. Part 2: Going Mobile
7. Chapter 5: Playing with FireMonkey 8. Chapter 6: FireMonkey in 3D 9. Chapter 7: Building User Interfaces with Style 10. Chapter 8: Working with Mobile Operating Systems 11. Chapter 9: Desktop Apps and Mobile Bridges 12. Part 3: From Data to Services
13. Chapter 10: Embedding Databases 14. Chapter 11: Integrating with Web Services 15. Chapter 12: Building Mobile Backends 16. Chapter 13: Easy REST API Publishing with RAD Server 17. Chapter 14: App Deployment 18. Chapter 15: The Road Ahead 19. Index
20. Other Books You May Enjoy

Working with JSON

A better format for storing favorite entries is JSON. This is currently the most popular data interchange format. Its strength is its simplicity. The JSON specification is an interesting read and can be found at http://json.org. With a very simple type system, JSON is able to represent complex data structures. One of the key design objectives of JSON is to keep it simple. Most programming languages can process JSON, and Object Pascal is not an exception.

There are two main ways to work with JSON in Delphi. The first approach is to build an in-memory representation of the JSON tree using objects from the System.JSON unit. The second approach is based on streaming and provides sequential access to JSON data. In reality, both ways have their advantages and disadvantages. Let’s look at both.

JSON is a very popular format for sharing information and all kinds of datasets. Imagine you have just locally downloaded a piece of JSON. Now what?

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