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Python for DevOps: Learn Ruthlessly Effective Automation
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Python has become one of the most popular languages in the world. With this book, you’ll learn how to develop software and solve problems using containers, [and] how to monitor, instrument, load-test, and operationalize your software.
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- 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 languageHow to automate text, write command-line tools, and automate the filesystemLinux utilities, package management, build systems, monitoring and instrumentation, and automated testingCloud computing, infrastructure as code, Kubernetes, and serverlessMachine learning operations and data engineering from a DevOps perspectiveBuilding, deploying, and operationalizing a machine learning project
| Publisher | O'Reilly Media |
| Publication date | January 21, 2020 |
| Edition | 1st |
| Language | English |
| Print length | 506 pages |
| ISBN-10 | 149205769X |
| ISBN-13 | 978-1492057697 |
| Item Weight | 2.31 pounds (1.05 kg) |
| Dimensions | 7.01 x 1.02 x 9.17 inches (17.8 x 2.6 x 23.3 cm) |
Who Should Buy?
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Aspiring DevOps Engineers
This product provides essential automation skills needed for newcomers in the DevOps field to enhance their productivity.
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Software Developers
Developers looking to streamline their deployment processes will benefit from learning effective automation techniques using Python.
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IT Administrators
System admins seeking to automate repetitive tasks can leverage the book's practical examples to optimize their workflows.
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Complete Beginners
Users with no prior programming or Python experience may find the content challenging without foundational knowledge.
ОПИСАНИЕ ТОВАРА
About This Item
Introducing "Python for DevOps: Learn Ruthlessly Effective Automation 1st Edition"! Looking to master the art of automation and take your DevOps skills to the next level? Look no further than "Python for DevOps: Learn Ruthlessly Effective Automation 1st Edition". This comprehensive guide is designed to empower you with the knowledge and techniques needed to automate your day-to-day tasks, streamline your workflow, and increase your efficiency. Authored by Noah Gift, a seasoned programmer with over 20 years of experience in Python, and a member of the Python Software Foundation, this book is a must-have for both beginners and experienced professionals in the field. Noah has worked in various roles, including CTO, general manager, and cloud architect, for a multitude of companies.
His expertise and insights make this book a valuable resource for anyone seeking to excel in the world of DevOps. Kennedy Behrman, a veteran consultant specializing in architecting and implementing cloud solutions, joins Noah as a co-author. Kennedy brings his expertise in data engineering, data science, and AWS solutions to provide a well-rounded and practical approach to automation. Alfredo Deza, a passionate software engineer and open-source developer, and Grig Gheorghiu, a seasoned programmer and software test engineer, also contribute their knowledge and experiences to make this book a comprehensive and insightful resource. Whether you are a beginner looking to get started with automation or an experienced professional aiming to enhance your Python skills, "Python for DevOps: Learn Ruthlessly Effective Automation 1st Edition" has got you covered. From understanding the fundamental concepts of automation to mastering advanced techniques, this book offers a step-by-step approach to help you become proficient in Python and its application in the DevOps landscape. With the guidance of this book, you will learn: - Python automation best practices - Python scripting for automation - Python automation libraries and frameworks - Python for system administration and network automation - Python for cloud automation and infrastructure automation - Effective automation techniques using Python With its clear and concise explanations, hands-on examples, and practical exercises, "Python for DevOps: Learn Ruthlessly Effective Automation 1st Edition" is the ultimate resource for anyone looking to harness the power of Python for automation.
Kickstart your journey towards becoming a Python automation expert by grabbing your copy today!.
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Shell Editorial Review
This book on DevOps and programming with Python has received mixed reviews. Although some readers find it practical, informative, and an excellent resource with real-world examples, others have criticised it as disorganised and chaotic with insufficient detail and examples. Some have pointed out the book's technical errors and inaccuracies, sloppy writing, and a lack of focus on any one topic. The technical content is not up to par, according to some reviews, and the book tries to cover too many areas without depth. The authors' anecdotes and personal stories have been criticised as unnecessary.
Customer Reviews & Ratings
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5 звезда
73%
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4 звезда
15%
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3 звезда
9%
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2 звезда
2%
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1 звезда
1%
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Плюсы
- Easy to read
- Good introduction to Python and DevOps concepts
- Provides real-world examples
- Covers cloud computing and Infrastructure as Code
- Useful section on command line and Linux utilities within Python
Минусы
- Disorganised, chaotic, and lacking focus
Product Price History
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Особенности и преимущества
- Use Python for everyday Linux systems administration tasks
- Includes today’s most useful DevOps tools like Docker and Kubernetes
- Learn automation with Linux, cloud computing, and machine learning operations
- Develop software and solve problems using containers
- Operationalize a machine learning project
- Automate text, write command-line tools, and automate the filesystem
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