This is the code repository for Hands-On Python for DevOps, published by Packt.
Leverage Python's native libraries to streamline your workflow and save time with automation
Unleash the power of Python in DevOps with this comprehensive guide to integrating Python into DevOps workflows to automate tasks, enhance CI/CD pipelines, and delve into MLOps and DataOps to streamline operations and boost efficiency.
This book covers the following exciting features:
- 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
If you feel this book is for you, get your copy today!
All of the code is organized into folders. For example, Chapter02.
The code will look like the following:
def packet_handler(packet):
print(packet)
packet_sizes.append(len(packet))
timestamps.append(packet.time)
Following is what you need for this book: 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.
With the following software and hardware list you can run all code files present in the book (Chapter 1-13).
| Chapter | Software required | OS required |
|---|---|---|
| 1-13 | Python 3.9 or higher | Windows, macOS, or Linux |
| 1-13 | Amazon Web Services (AWS) | Windows, macOS, or Linux |
| 1-13 | Google Cloud Platform (GCP) | Windows, macOS, or Linux |
| 1-13 | Microsoft Azure | Windows, macOS, or Linux |
| 1-13 | Google Colab | Windows, macOS, or Linux |
| 1-13 | Grafana | Windows, macOS, or Linux |
Ankur Roy is a Solutions Architect at Online Partner AB in Stockholm, Sweden. Prior to this, he worked as a Software Engineer at Genese Solution in Kathmandu, Nepal. His areas of expertise include cloud-based solutions and workloads in a diverse range of fields such as development, DevOps, and security, among others. Ankur is an avid blogger, podcaster, content creator, and contributing member of the Python, DevOps, and cloud computing community. He has completed all the available certifications in Google Cloud and several others in AWS and Azure as well. Moreover, he is an AWS Community Builder.