Packt

Python DevOps Best Practices and Automation

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Packt

Python DevOps Best Practices and Automation

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Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

1 week to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

1 week to complete
at 10 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • Automate DevOps workflows by interacting with APIs and managing HTTP requests.

  • Apply static typing and type hints to Python code for improved reliability.

  • Write effective unit tests with Pytest, including advanced techniques like mocking.

  • Build, test, and deploy a full CI/CD pipeline using GitHub Actions and Semantic Release.

Details to know

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Recently updated!

May 2026

Assessments

7 assignments

Taught in English

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This course is part of the Python for DevOps: The Ultimate Hands-On Guide Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate

There are 5 modules in this course

In this module, we will explore API interaction using Python's requests library. You will learn how to make GET and POST requests, handle authentication, interpret HTTP status codes, and implement best practices like retries and timeouts to ensure smooth API communication.

What's included

12 videos2 readings1 assignment

In this module, we will dive into Python's static typing system, learning to apply type hints for better code clarity and error prevention. You will explore advanced typing concepts and configure your development environment for optimal type checking to write more robust and maintainable code.

What's included

18 videos1 assignment

In this module, we will master automated testing using the Pytest framework. You'll learn to write assertions, handle test failures, and implement features like fixtures and parametrization. We’ll also cover mocking techniques for simulating external dependencies and improving test flexibility.

What's included

21 videos1 assignment

In this module, we will focus on best practices for structuring Python projects. You will learn how to organize code using modules and packages, manage project configurations with pyproject.toml, and resolve common import issues, setting the foundation for scalable and maintainable projects.

What's included

9 videos1 assignment

In this module, we will guide you through building a full CI/CD pipeline for Python projects. You’ll learn how to automate the build, test, and deployment processes using GitHub Actions, Pytest, and Semantic Release, culminating in packaging and securely publishing your project to PyPI for easy distribution.

What's included

24 videos1 reading3 assignments

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Instructor

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Packt
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