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
