DevOps With Python
Learning Path ⋅ Skills: Packaging & Deployment, AWS, Docker
Python is one of the primary technologies used by teams practicing DevOps. Its flexibility and accessibility make Python a great fit for this job, enabling the whole team to build web applications, data visualizations, and to improve their workflow with custom utilities.
With this learning path you’ll sample a variety of skills and technologies that any DevOps engineer working with Python should know.
Additional Resources
DevOps With Python
Learning Path ⋅ 7 Resources
Course
Running Python Scripts
This step-by-step course will guide you through a series of ways to run Python scripts, depending on your environment, platform, needs, and skills as a programmer.
Course
A Beginner's Guide to pip
What is pip? In this beginner-friendly course, you'll learn how to use pip, the standard package manager for Python, so that you can install and manage additional packages that are not part of the Python standard library.
Course
Publishing Python Packages to PyPI
In this video course, you’ll learn how to create a Python package for your project and how to publish it to PyPI, the Python Package Index. Quickly get up to speed on everything from naming your package to configuring it using setup.cfg.
Course
Continuous Integration With Python
Learn the core concepts behind Continuous Integration (CI) and why they are essential for modern software engineering teams. Find out how to how set up Continuous Integration for your Python project to automatically create environments, install dependencies, and run tests.
Tutorial
Build Robust Continuous Integration With Docker and Friends
In this tutorial, you'll use Docker and GitHub Actions to build a robust continuous integration pipeline for a multi-container web application consisting of Flask and Redis. Along the way, you'll learn how to dockerize a Python web application.
Course
Python, Boto3, and AWS S3: Demystified
Get started working with Python, Boto3, and AWS S3. Learn how to create objects, upload them to S3, download their contents, and change their attributes directly from your script, all while avoiding common pitfalls.
Course
Logging in Python
Learn why and how to get started with Python's powerful logging module to meet the needs of beginners and enterprise teams alike.
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