Python for DevOps: The Ultimate Hands-On Guide: Leverage Python for DevOps to automate, optimize and enhance your workflows

LM Academy

$109.99

Video Aug 2025 23hrs 40mins 1st Edition

LM Academy

$109.99

Video Aug 2025 23hrs 40mins 1st Edition

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Key benefits

Comprehensive Python setup for DevOps environments and workflows
Hands-on experience with advanced Python concepts and DevOps tools
Full CI/CD pipeline creation with automated testing and deployment

Description

This course starts by guiding learners through setting up a Python environment tailored for DevOps tasks, covering version management, virtual environments, and interactive coding with JupyterLab. Students build a strong foundation in Python, including variables, loops, functions, data structures, and object-oriented programming, with practical DevOps exercises like disk usage calculation and log management. As the course progresses, learners dive into advanced Python features for DevOps, such as generators, decorators, exception handling, resource management, and logging practices. They gain hands-on experience with APIs, file handling, parsing JSON/YAML/CSV data, automating operations, and securely managing environment variables. The final sections focus on professional-grade development practices, including static typing, automated testing with Pytest, project structuring, and CI/CD pipeline creation. Students design command-line interfaces, integrate GitHub Actions workflows, implement linting and security checks, and automate deployment to PyPI. By the end, learners will be ready to solve complex DevOps challenges using Python, creating scalable, efficient, and automated solutions for modern infrastructures.

Who is this book for?

Ideal for DevOps engineers, system administrators, software developers, and IT professionals seeking to automate workflows and optimize deployments with Python. Basic programming knowledge and familiarity with Linux/Windows command-line operations are recommended. No prior Python experience is required, though understanding software development practices will accelerate learning.