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Python in Containers

By: Kris Celmer

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eText | 24 March 2020 | Edition Number 1

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Docker and Kubernetes are must-have skills for Python engineers these days. Whether your focus is on machine learning and data science or you use Python as a general programming language, you must understand Docker and Kubernetes, as they form the basis of modern cloud-native applications built using microservice architectures.

In this course, you'll learn to do the following:

Develop and explore machine learning, data science, and Jupyter Notebooks in Docker
Run machine learning models in production with Kubernetes and Docker Swarm
Package your Python code into containers
Publish your containers in image registries
Deploy containers to production, both in Docker and Kubernetes
Build highly modular, container-based services in a microservices way
Monitor and maintain containerized apps

You can use the course in two ways:

If you use Python for machine learning and data science, go top-down - start with section 7 to quickly develop practical Docker skills and use sections 2 to 6 to delve deeper into specific container topics
If you want to use Python for building web apps and microservices, try the bottom-up approach - use the course in a linear way