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Hands-On Python for DevOps
Hands-On Python for DevOps

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

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Hands-On Python for DevOps

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Key benefits

  • Integrate Python into DevOps for streamlined workflows, task automation, and improved collaboration
  • Combine the principles of Python and DevOps into a unified approach for problem solving
  • Learn about Python’s role in Infrastructure as Code (IaC), MLOps, networking, and other domains
  • Purchase of the print or Kindle book includes a free PDF eBook

Description

Python stands out as a powerhouse in DevOps, boasting unparalleled libraries and support, which makes it the preferred programming language for problem solvers worldwide. This book will help you understand the true flexibility of Python, demonstrating how it can be integrated into incredibly useful DevOps workflows and workloads, through practical examples. You'll start by understanding the symbiotic relation between Python and DevOps philosophies and then explore the applications of Python for provisioning and manipulating VMs and other cloud resources to facilitate DevOps activities. With illustrated examples, you’ll become familiar with automating DevOps tasks and learn where and how Python can be used to enhance CI/CD pipelines. Further, the book highlights Python’s role in the Infrastructure as Code (IaC) process development, including its connections with tools like Ansible, SaltStack, and Terraform. The concluding chapters cover advanced concepts such as MLOps, DataOps, and Python’s integration with generative AI, offering a glimpse into the areas of monitoring, logging, Kubernetes, and more. By the end of this book, you’ll know how to leverage Python in your DevOps-based workloads to make your life easier and save time.

Who is this book for?

This book is for IT professionals venturing into DevOps, particularly programmers seeking to apply their existing programming knowledge to excel in this field. For DevOps professionals without a coding background, this book serves as a resource to enhance their understanding of development practices and communicate more effectively with developers. Solutions architects, programmers, and anyone regularly working with DevOps solutions and Python will also benefit from this hands-on guide.

What you will learn

  • Implement DevOps practices and principles using Python
  • Enhance your DevOps workloads with Python
  • Create Python-based DevOps solutions to improve your workload efficiency
  • Understand DevOps objectives and the mindset needed to achieve them
  • Use Python to automate DevOps tasks and increase productivity
  • Explore the concepts of DevSecOps, MLOps, DataOps, and more
  • Use Python for containerized workloads in Docker and Kubernetes
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Product Details

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Publication date, Length, Edition, Language, ISBN-13
Publication date : Mar 15, 2024
Length: 220 pages
Edition : 1st
Language : English
ISBN-13 : 9781835081167
Languages :
Concepts :
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Estimated delivery fee Deliver to Slovakia

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Product Details

Publication date : Mar 15, 2024
Length: 220 pages
Edition : 1st
Language : English
ISBN-13 : 9781835081167
Languages :
Concepts :
Tools :

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Table of Contents

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

Customer reviews

Top Reviews
Rating distribution
Full star icon Full star icon Full star icon Full star icon Half star icon 4.3
(7 Ratings)
5 star 71.4%
4 star 14.3%
3 star 0%
2 star 0%
1 star 14.3%
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Top Reviews

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Ashar Neyaz Mar 24, 2024
Full star icon Full star icon Full star icon Full star icon Full star icon 5
This book is an excellent resource if you're an IT professional wanting to use Python in DevOps processes. It is helpful for both programmers and DevOps specialists because it covers essential subjects like automation, CI/CD pipelines, and security. The information is simple and provides valuable insights into contemporary DevOps principles. It's an excellent tool for improving Python-based DevOps abilities. The book is understandable to novices and seasoned experts through its step-by-step methodology and practical examples. This book is fantastic for incorporating Python into DevOps for effective local and cloud systems orchestration.
Amazon Verified review Amazon
Mr S Paynter Mar 25, 2024
Full star icon Full star icon Full star icon Full star icon Full star icon 5
"Python for DevOps" is an indispensable guide that seamlessly integrates the power of Python into the world of DevOps, revolutionizing workflows, automating tasks, and fostering improved collaboration. With its comprehensive approach, this book expertly combines the principles of Python programming with the core tenets of DevOps philosophy, making it a must-have resource for both seasoned professionals and newcomers alike.One of the key strengths of this book is its practical approach, offering readers a hands-on journey through the symbiotic relationship between Python and DevOps. From provisioning and manipulating cloud resources to automating tasks and enhancing CI/CD pipelines, each concept is illustrated with clear examples, ensuring a thorough understanding of how Python can be leveraged to optimize DevOps workflows.The book doesn't just stop at basic automation tasks; it delves into advanced topics such as DevSecOps, MLOps, and DataOps, showcasing Python's versatility across various domains. Whether you're interested in Infrastructure as Code (IaC) development or exploring Python's integration with containerized workloads in Docker and Kubernetes, this book covers it all, providing valuable insights and practical techniques to elevate your DevOps game.What sets this book apart is its accessibility. While it caters to IT professionals venturing into DevOps, it also serves as a valuable resource for programmers looking to apply their coding expertise in the DevOps realm. Even for DevOps professionals without a coding background, this book offers a bridge to understanding development practices and fostering effective communication with developers.
Amazon Verified review Amazon
JP Mar 20, 2024
Full star icon Full star icon Full star icon Full star icon Full star icon 5
IaC isn't going anywhere, and time is valuable. This book is relatively short but is packed with valuable information. I appreciate the author respecting the reader's time and focusing on valuable takeaways for the reader. Would recommend this book.
Amazon Verified review Amazon
Thomas M. Apr 04, 2024
Full star icon Full star icon Full star icon Full star icon Full star icon 5
I've found this book to be an essential guide for IT professionals looking to leverage Python's capabilities in DevOps. The book provides a comprehensive and practical approach to integrating Python into DevOps workflows. I’ve read other resources on the topic and, IMO, Roy’s book is unparalleled in terms of its holistic view of DevOps philosophies along with its modern approach to using Python for DevOps.The book begins by explaining the symbiotic relationship between Python and DevOps philosophies, setting a solid foundation for understanding the role of Python in streamlining DevOps processes. This helped me understand the ‘why’ behind architectural decisions later in the book, such as provisioning and manipulating cloud resources, automating DevOps tasks, and enhancing CI/CD pipelines – all of which are super practical and aligned with modern best practices I’ve seen in the field.One of the strengths of this book is its focus on practical examples and real-world scenarios. Roy provides step-by-step instructions and code snippets, making it easy for readers to apply the concepts discussed in the book to their own work. The book covers advanced topics such as DevSecOps, MLOps, DataOps, and Python's integration with generative AI, offering a glimpse into the cutting-edge applications of DevOps. Roy is definitely at the frontier of the field and his command of the topic comes through.The author has done an excellent job in presenting complex concepts in a clear and concise manner. The book is well-organized and easy to navigate, with each chapter building upon the previous one. While the topics are pretty technical, the writing style tends to be super engaging and informative, making it a pleasure to read.IMO Hands On Python for DevOps is a great read for folks looking to enhance their DevOps skills with modern practices. Highly recommended!
Amazon Verified review Amazon
Om S Mar 19, 2024
Full star icon Full star icon Full star icon Full star icon Full star icon 5
This book is a handy guide for IT professionals looking to leverage Python in DevOps practices. It covers essential topics like automation, CI/CD pipelines, and security, making it valuable for programmers and DevOps specialists alike. The content is easy to understand, offering practical insights into modern DevOps concepts. It's a great resource for enhancing DevOps skills using Python. The book's step-by-step approach and real-world examples make it accessible for beginners and experienced professionals. The inclusion of Python's role in Infrastructure as Code (IaC) and other domains adds depth to the book's coverage. Overall, it's a great and practical guide for integrating Python into DevOps for efficient orchestration on local and cloud platforms.
Amazon Verified review Amazon
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UK:

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Trackable service with delivery to addresses in Australia only.
Delivery time ranges from 7-9 business days for VIC and 8-10 business days for Interstate metro
Delivery time is up to 15 business days for remote areas of WA, NT & QLD.

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Rest of the World:

Premium: Countries in the American continent: Trackable delivery to most countries within 4-7 business days

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Disclaimer:
All orders received before 5 PM U.K time would start printing from the next business day. So the estimated delivery times start from the next day as well. Orders received after 5 PM U.K time (in our internal systems) on a business day or anytime on the weekend will begin printing the second to next business day. For example, an order placed at 11 AM today will begin printing tomorrow, whereas an order placed at 9 PM tonight will begin printing the day after tomorrow.


Unfortunately, due to several restrictions, we are unable to ship to the following countries:

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  3. Belarus
  4. Brunei Darussalam
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  8. Guinea-bissau
  9. Iran
  10. Lebanon
  11. Libiya Arab Jamahriya
  12. Somalia
  13. Sudan
  14. Russian Federation
  15. Syrian Arab Republic
  16. Ukraine
  17. Venezuela