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Windows Subsystem for Linux 2 (WSL 2) Tips, Tricks, and Techniques

You're reading from   Windows Subsystem for Linux 2 (WSL 2) Tips, Tricks, and Techniques Maximise productivity of your Windows 10 development machine with custom workflows and configurations

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Product type Paperback
Published in Oct 2020
Publisher Packt
ISBN-13 9781800562448
Length 246 pages
Edition 1st Edition
Tools
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Author (1):
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Stuart Leeks Stuart Leeks
Author Profile Icon Stuart Leeks
Stuart Leeks
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Toc

Table of Contents (16) Chapters Close

Preface 1. Section 1: Introduction, Installation, and Configuration
2. Chapter 1: Introduction to the Windows Subsystem for Linux FREE CHAPTER 3. Chapter 2: Installing and Configuring the Windows Subsystem for Linux 4. Chapter 3: Getting Started with Windows Terminal 5. Section 2:Windows and Linux – A Winning Combination
6. Chapter 4: Windows to Linux Interoperability 7. Chapter 5: Linux to Windows Interoperability 8. Chapter 6: Getting More from Windows Terminal 9. Chapter 7: Working with Containers in WSL 10. Chapter 8: Working with WSL Distros 11. Section 3: Developing with the Windows Subsystem for Linux
12. Chapter 9: Visual Studio Code and WSL 13. Chapter 10: Visual Studio Code and Containers 14. Chapter 11: Productivity Tips with Command-Line Tools 15. Other Books You May Enjoy

Summary

In this chapter, you saw ways to improve how you work with Git in WSL. You saw how to configure Git Credential Manager for Windows to reuse saved Git credentials from Windows in WSL and to prompt you in Windows when new Git credentials are needed. After this, you saw a range of options for viewing Git history, with a discussion of their pros and cons to enable you to pick the right approach for you.

In the rest of the chapter, you saw how to work with JSON data in WSL, initially by diving into jq and the JSON capabilities of PowerShell. With this background, you then saw some examples of working with JSON through deployments using az and kubectl. As well as covering scenarios that you may face with each of these CLIs, the examples demonstrated techniques that can be applied to other CLIs (or APIs) that provide JSON data. Being able to work effectively with JSON data gives you powerful capabilities that you can use in your scripts to save you time.

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