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Go Programming - From Beginner to Professional - Second Edition

You're reading from  Go Programming - From Beginner to Professional - Second Edition

Product type Book
Published in Mar 2024
Publisher Packt
ISBN-13 9781803243054
Pages 680 pages
Edition 2nd Edition
Languages
Author (1):
Samantha Coyle Samantha Coyle
Profile icon Samantha Coyle
Toc

Table of Contents (30) Chapters close

Preface 1. Part 1: Scripts
2. Chapter 1: Variables and Operators 3. Chapter 2: Command and Control 4. Chapter 3: Core Types 5. Chapter 4: Complex Types 6. Part 2: Components
7. Chapter 5: Functions – Reduce, Reuse, and Recycle 8. Chapter 6: Don’t Panic! Handle Your Errors 9. Chapter 7: Interfaces 10. Chapter 8: Generic Algorithm Superpowers 11. Part 3: Modules
12. Chapter 9: Using Go Modules to Define a Project 13. Chapter 10: Packages Keep Projects Manageable 14. Chapter 11: Bug-Busting Debugging Skills 15. Chapter 12: About Time 16. Part 4: Applications
17. Chapter 13: Programming from the Command Line 18. Chapter 14: File and Systems 19. Chapter 15: SQL and Databases 20. Part 5: Building For The Web
21. Chapter 16: Web Servers 22. Chapter 17: Using the Go HTTP Client 23. Part 6: Professional
24. Chapter 18: Concurrent Work 25. Chapter 19: Testing 26. Chapter 20: Using Go Tools 27. Chapter 21: Go in the Cloud 28. Index 29. Other Books You May Enjoy

Streaming large amounts of data in and out of your application

In command-line applications, it is crucial to handle large amounts of data efficiently for performance and responsiveness purposes. Often, command-line applications may be a small part of a larger pipeline processing data. Most people are not going to want to sit around typing out a large amount of data, such as a dataset, piece by piece.

Go allows you to stream data to your applications so that you can process information in chunks, rather than all at once. This allows you to effectively process large amounts of data, reduce memory overhead, and provide better scalability in the future.

When dealing with large amounts of data, it’s often stored in files. This can range from financial CSV files, analysis Excel files, or machine learning datasets. There are a few main benefits of streaming data with Go:

  • Memory efficiency: The program can read and process data line by line, reducing memory consumption...
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