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.
DevOps With Python
Learning Path ⋅ 7 Resources
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.
Pip, the Python Package Manager
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.
Publishing Your Own Python Package to PyPI
Learn how to create a Python package for your project and how to publish it to PyPI, the Python Package Repository. Quickly get up to speed on everything from naming your package to configuring it using setup.py.
Continuous Integration With Python
Learn the core concepts behind Continuous Integration (CI) and why they are essential for modern software engineering teams.
Docker in Action: Fitter, Happier, More Productive
Let's look at how to set up your local development environment with Docker as well as continuous integration, step by step.
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.
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.