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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 p
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Book ID Asin: 149205769X
Book Title: Python for DevOps: Learn Ruthlessly Effective Automation
Book Author: Noah Gift,Kennedy Behrman,Alfredo Deza,Grig Gheorghiu
Book Format: unknownBook Price: unknown
Book Category: Books, Computers & Technology, Operating Systems and unknown
Book Rating: 203 ratings
Python for DevOps: Learn Ruthlessly Effective Automation by Noah Gift,Kennedy Behrman,Alfredo Deza,Grig Gheorghiu Book Review
Name: dj_nz
Rating: 2.0 out of 5 stars
Title: Full of mistakes
Date: Reviewed in the United States on June 11, 2020
Review: There are a few useful tidbits in here. Unfortunately, it’s one of the sloppiest books I’ve read from oreilly. There are spelling errors, mistakes in console output (random python code in command output), a ton of totally unnecessary personal stories (Sorry Alfredo, we don’t need to know why the CTO was always a jerk), and most concerningly the technical content is not up to par.
They try to cover too many areas and lack depth. They clearly don’t know what an ASIC is when stating that a GPU is a type of ASIC (in that case, so is a CPU), their “encryption” section includes hashing (not encryption) and recommends md5 for password hashing and handrolled RSA from a library which is literally called “hazardous materials”, with zero notice that these are terrible ideas that nobody should use.
I’m not finished but this is only worth a skim for some useful library mentions. I wouldn’t pay from my own pocket for it.
Name: Thomas Lockney
Rating: 2.0 out of 5 stars
Title: Way too many mistakes, non sequiturs, and just plain bad writing.
Date: Reviewed in the United States on August 7, 2020
Review: I had to stop after the first few chapters. This book is full of mistakes, non sequiturs, and odd stories that seem really out of place. I really don't get how this got past the editors. There's some decent material in here and I'll likely reference parts of it later, but I definitely would not recommend a straight through read to anyone. Especially if you don't already know enough to spot the mistakes.
Name: Dimitar Dinev
Rating: 5.0 out of 5 stars
Title: Absolute must to have for devops
Date: Reviewed in the United States on March 9, 2020
Review: Amazing book. Everybody at the office love it. Mine looks like a textbook full with sticky notes.
Name: Amazon Customer
Rating: 5.0 out of 5 stars
Title: Excellent book.
Date: Reviewed in the United States on February 9, 2020
Review: Well written. Practical, Concise, and Deep knowledge.
Name: Wayne Blanchard
Rating: 5.0 out of 5 stars
Title: Emphasis on automation
Date: Reviewed in the United States on January 19, 2020
Review: Very informative, real world examples with a good introduction to Python. Covers all aspects of DevOps concepts with emphasis on automation. Does a good job explaining cloud computing, data engineering and ML concepts. Introduces a most useful explanation and configuration examples of Infrastructure as Code. Very useful section on command line and Linux Utilities within Python.
Name: oleg
Rating: 1.0 out of 5 stars
Title: Poor examples and explanation
Date: Reviewed in the United States on October 5, 2020
Review: Lacks details. Examples are not clear enough.
Name: Patric G.
Rating: 5.0 out of 5 stars
Title: Remarkably Comprehensive
Date: Reviewed in the United States on January 10, 2020
Review: As a data scientist, I have historically relied on my engineering team to deploy my models into production. This book taught me everything I need to know -- about Docker containers, Kubernetes, and engineering operations -- to deploy my models effectively and automatically entirely on my own. Thank you! I really needed this book :)
Name: Warren R.
Rating: 5.0 out of 5 stars
Title: Perfect balance of depth, complexity, and breadth. Must have for modern devops
Date: Reviewed in the United States on April 26, 2022
Review: The book goes from basic python, linux, and devops all the way to some obscure utilities, kubernetes and big data with just enough detail (imo) to be super useful but still digestible (a hard balance to strike!). I find myself reaching for it often when looking for inspiration on a particular devops/backend problem.
I found it very interesting that you get 4 different author's perspectives in one book. There are also a lot of great examples that are ideal for general use (not way too hard like a typical text book).
This book is an absolute must-have for your office. Especially if you have a software focus, you're going to want to have a copy on hand.
Overall I would definitely recommend
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