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Hands-On Python for DevOps

You're reading from   Hands-On Python for DevOps Leverage Python's native libraries to streamline your workflow and save time with automation

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Product type Paperback
Published in Mar 2024
Publisher Packt
ISBN-13 9781835081167
Length 220 pages
Edition 1st Edition
Languages
Tools
Concepts
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Author (1):
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Ankur Roy Ankur Roy
Author Profile Icon Ankur Roy
Ankur Roy
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Toc

Table of Contents (19) Chapters Close

Preface 1. Part 1: Introduction to DevOps and role of Python in DevOps
2. Chapter 1: Introducing DevOps Principles FREE CHAPTER 3. Chapter 2: Talking about Python 4. Chapter 3: The Simplest Ways to Start Using DevOps in Python Immediately 5. Chapter 4: Provisioning Resources 6. Part 2: Sample Implementations of Python in DevOps
7. Chapter 5: Manipulating Resources 8. Chapter 6: Security and DevSecOps with Python 9. Chapter 7: Automating Tasks 10. Chapter 8: Understanding Event-Driven Architecture 11. Chapter 9: Using Python for CI/CD Pipelines 12. Part 3: Let’s Go Further, Let’s Build Bigger
13. Chapter 10: Common DevOps Use Cases in Some of the Biggest Companies in the World 14. Chapter 11: MLOps and DataOps 15. Chapter 12: How Python Integrates with IaC Concepts 16. Chapter 13: The Tools to Take Your DevOps to the Next Level 17. Index 18. Other Books You May Enjoy

Talking about Python

Language is the key to world peace. If we all spoke each other’s tongues, perhaps the scourge of war would be ended forever.

– Batman

The Python programming language was built on a set of principles that was meant to simplify coding in it. This simplification came at the cost of a lot of speed and performance compared to other programming languages but also produced a popular language that was accessible and easy to build in, with a massive library of built-in functions. All of these made Python very versatile and capable of being used in a myriad of situations, a programming Swiss army knife if you will. A perfect tool for a diverse discipline such as DevOps.

Beginners are recommended Python as a learning language because it is fairly simple, easy to pick up, and also used a fair amount in the industry (if it wasn’t, why would I be writing this book?). Python is also a great flexible programming language for hobbyists because of the...

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