This post from KDnuggets outlines a five-step process to containerize Python applications using Docker. It covers installing Docker, coding a Python application, creating a Dockerfile, building the Docker image, and running the Docker container. The tutorial uses a command-line TO-DO list app as an example and emphasizes the benefits of Docker for managing dependencies and creating isolated, reproducible environments.
This post on Render's website explains how to deploy a Docker image to their cloud hosting service. The post covers how to deploy public and private images, how to manage credentials, and how to deploy images manually or via webhook. There are also some limitations to be aware of, such as the image needing to be built for the linux/amd64 platform and the compressed image size being less than 10Gi.