Docker has exploded in popularity and has become the de facto target as a containerization image format as well as a containerization runtime. With modern applications getting more and more complicated, the increased focus on microservices has led to adoption of Docker, as it allows for applications along with their dependencies to be packaged into a file as a container that can run on any system. This allows for faster turnaround times in application deployment and less complexity and it negates the chances of the “it-works-on-my-server-but-not-on-yours” problem.
Practical Docker with Python covers the fundamentals of containerization, gets you acquainted with Docker, breaks down terminology like Dockerfile and Docker Volumes, and takes you on a guided tour of building a chatbot using Python. You’ll learn how to package a traditional application as a Docker Image.
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