Much has changed in technology over the past decade. Data is hot, the cloud is ubiquitous, and many organizations need some form of automation. Throughout these transformations, Python has become one of the most popular languages in the world. This practical resource shows you how to use Python for everyday Linux systems administration tasks with today’s most useful DevOps tools, including Docker, Kubernetes, and Terraform.

Learning how to interact and automate with Linux is essential for millions of professionals. Python makes it much easier. With this book, you’ll learn how to develop software and solve problems using containers, as well as how to monitor, instrument, load-test, and operationalize your software. Looking for effective ways to "get stuff done" in Python? This is your guide.

• Python foundations, including a brief introduction to the language
• How to automate text, write command-line tools, and automate the filesystem
• Linux utilities, package management, build systems, monitoring and instrumentation, and automated testing
• Cloud computing, infrastructure as code, Kubernetes, and serverless
• Machine learning operations and data engineering from a DevOps perspective

• Building, deploying, and operationalizing a machine learning project

在过去的十年中，技术发生了很多变化。数据很热，云无处不在，许多组织需要某种形式的自动化。在这些变革中，Python已经成为世界上最流行的语言之一。这个实用的资源告诉你如何使用Python与当今最有用的DevOps工具进行日常的Linux系统管理任务，包括Docker、Kubernetes和Terraform。

学习如何与Linux互动并实现自动化，对数百万专业人士来说是必不可少的。Python使它变得更加容易。通过本书，你将学会如何使用容器开发软件和解决问题，以及如何监控、测量、负载测试和操作你的软件。你在寻找在Python中 "完成任务 "的有效方法吗？这就是你的指南。

- Python的基础，包括对语言的简要介绍

- 如何实现文本自动化，编写命令行工具，以及实现文件系统的自动化

- Linux实用程序、软件包管理、构建系统、监控和仪表以及自动测试

- 云计算、基础设施即代码、Kubernetes和无服务器

- 从DevOps角度看机器学习操作和数据工程

- 构建、部署和运营机器学习项目