Learning Path ⋅ Skills: Packaging & Deployment, CI/CD, AWS, Docker, Logging
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.
You’ll learn how to run and package Python scripts, manage dependencies with pip, publish packages to PyPI, set up CI/CD pipelines with GitHub Actions and Docker, interact with AWS S3 using Boto3, and implement effective logging.
Learning Path ⋅ 9 Resources
Learn the fundamentals of running Python scripts and managing dependencies with pip. You’ll also discover how to package and publish your own Python projects to PyPI.
Course
See how to run a Python script from the command line, in interactive mode, or your IDE. Quickly verify that your code works as intended on all platforms.
Course
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
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.
Set up automated testing and deployment pipelines for your Python projects. Learn how to use CI/CD tools to catch bugs early and deploy code reliably.
Course
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
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.
Work with cloud services and implement effective monitoring. Learn to interact with AWS S3 using Boto3 and set up proper logging for your applications.
Course
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
Learn why and how to get started with Python's powerful logging module to meet the needs of beginners and enterprise teams alike.