Python for DevOps: Learn Ruthlessly Effective Automation
Noah Gift
Sold by THE SAINT BOOKSTORE, Southport, United Kingdom
AbeBooks Seller since June 14, 2006
New - Soft cover
Condition: New
Quantity: 10 available
Add to basketSold by THE SAINT BOOKSTORE, Southport, United Kingdom
AbeBooks Seller since June 14, 2006
Condition: New
Quantity: 10 available
Add to basketNew copy - Usually dispatched within 4 working days. 812.
Seller Inventory # B9781492057697
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.
He is experienced in data engineering, data science, AWS solutions, and engineering management, and has acted as a technical editor on a number of python and data science-related publications. As a Data Scientist, he helped develop a proprietary growth hacking machine learning algorithm for a startup that led to the exponential growth of the platform. Afterward, he then hired and managed a Data Science team that supported this technology. Additional to that experience, he has been active in the Python language for close to 15 years including giving talks at user groups, writing articles, and serving as technical editor to many publications.
As a passionate knowledge-craving developer Alfredo can be found giving presentations in local groups about Python, file systems and storage, system administration, and professional sports.
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