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Python Continuous Integration and Delivery: A Concise Guide with Examples
Gain the techniques and tools that enable a smooth and efficient software development process in this quick and practical guide on Python continuous integration (CI) and continuous delivery (CD). Based on example applications, this book introduces various kinds of testing and shows you how to set up automated systems that run these tests, and install applications in different environments in controlled ways. Python Continuous Integration and Delivery tackles the technical problems related to software development that are typically glossed over in pure programming texts.After reading this book, you’ll see that in today's fast-moving world, no software project can afford to go through development, then an integration phase of unpredictable length and complexity, and finally be shipped to the customer -- just to find out that the resulting application didn't quite fill their need. Instead, you’ll discover that practicing continuous integration and continuous delivery reduces the risks by keeping changes small and automating otherwise painful processes. What You Will LearnCarry out various kinds of testing, including unit testing and continuous integration testing, of your Python code using JenkinsBuild packages and manage repositoriesIncorporate Ansible and Go for automated packaging and other deploymentsManage more complex and robust deploymentsWho This Book Is ForPython programmers and operating staff that work with Python applications.
- GenresProgramming
219 pages, Kindle Edition
Published December 28, 2018
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Displaying 1 - 2 of 2 reviews
August 31, 2020
A rather basic book. It accounts for essential steps in the CI/CD pipeline, but the toolset is limited to Debian packages, Jenkins, Ansible, and GoCD. Where's Chef? Where's Docker? Infrastructure as a Code topic also deserves more than a single paragraph.
The book also does not focus on Python in any way. After changing a couple of chapters it could be reworked to " Continuous Integration and Delivery".
Of course, a book of 200 pages can only cover basics, and it still makes good points. Yet I was feeling that the depth is lacking all the way.
The book also does not focus on Python in any way. After changing a couple of chapters it could be reworked to " Continuous Integration and Delivery".
Of course, a book of 200 pages can only cover basics, and it still makes good points. Yet I was feeling that the depth is lacking all the way.
February 18, 2019
“Python Continous Integration and Delivery”
I like that the book starts with pros and cons of testing. My worry is that it is easy to take some of these statements out of context. For example, “test are more code to maintain.” Yes, but worth it! Someone could decided not to test because it's “more to maintain.” I liked that different types of tests were all defined.
I like that the test examples build up. There is a dtest double using a default parameter. Than a mock object. Then patching. I personally found patching interesting because that's not a concept that exists in Java.
The book explores some tools like Jenkins and Docker. I was sa little surprised not to see pipelines in the Jenkins section, but it does show up with GOCD pipelines later in the book. I would have liked more detail, but the book is a short 200 pages so isn't going to cover everything. And that's ok; as long as you expect it!
Page 110 warns not to use a specific setup in production. While this is true, I wish books would say what to do instead when that happens
Overall, I think this is a good book for Python developers getting started with CI/CD. I think it is also good for those new to the Python ecosystem.
I like that the book starts with pros and cons of testing. My worry is that it is easy to take some of these statements out of context. For example, “test are more code to maintain.” Yes, but worth it! Someone could decided not to test because it's “more to maintain.” I liked that different types of tests were all defined.
I like that the test examples build up. There is a dtest double using a default parameter. Than a mock object. Then patching. I personally found patching interesting because that's not a concept that exists in Java.
The book explores some tools like Jenkins and Docker. I was sa little surprised not to see pipelines in the Jenkins section, but it does show up with GOCD pipelines later in the book. I would have liked more detail, but the book is a short 200 pages so isn't going to cover everything. And that's ok; as long as you expect it!
Page 110 warns not to use a specific setup in production. While this is true, I wish books would say what to do instead when that happens
Overall, I think this is a good book for Python developers getting started with CI/CD. I think it is also good for those new to the Python ecosystem.
Displaying 1 - 2 of 2 reviews