Jenkins Python Pipeline Tutorial
Jenkins Python Pipeline Tutorial


  • Introduces Python programmers to the techniques and tools that enable a smooth and efficient software development process

  • Contains practical examples on this aspect of Python DevOps

  • Makes DevOps accessible for Python coders

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Table of contents (14 chapters)

  1. Front Matter
  2. Back Matter

About this book

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 Learn

  • Carry out various kinds of testing, including unit testing and continuous integration testing, of your Python code using Jenkins
  • Build packages and manage repositories
  • Incorporate Ansible and Go for automated packaging and other deployments
  • Manage more complex and robust deployments

Who This Book Is For

Python programmers and operating staff that work with Python applications.


  • Python
  • Continuous
  • integration
  • delivery
  • deployment
  • programming
  • software
  • code
  • source
  • CI
  • CD
  • Jenkins
  • Ansible
  • DevOps

Authors and Affiliations

  • Fürth, Bayern, Germany

    Moritz Lenz

About the author

Bibliographic Information

  • Book Title: Python Continuous Integration and Delivery

  • Book Subtitle: A Concise Guide with Examples

  • Authors: Moritz Lenz

  • DOI:

  • Publisher: Apress Berkeley, CA

  • eBook Packages: Professional and Applied Computing, Professional and Applied Computing (R0), Apress Access Books

  • Copyright Information: Moritz Lenz 2019

  • Softcover ISBN: 978-1-4842-4280-3Published: 29 December 2018

  • eBook ISBN: 978-1-4842-4281-0Published: 28 December 2018

  • Edition Number: 1

  • Number of Pages: XIX, 194

  • Number of Illustrations: 21 b/w illustrations, 2 illustrations in colour

  • Topics: Python, Programming Techniques, Compilers and Interpreters

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