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Developing Python 3 Apps with Docker
Moving from a traditional architecture to a containerized architecture can be intimidating. This course will teach you how to use Docker and Docker Compose to build and deploy highly scalable Python applications.
What you'll learn
Building highly scalable Python applications in a microservices-based architecture can be challenging. In this course, Developing Python Apps with Docker, you'll learn how to run highly scalable Python applications in Docker containers. First, you'll explore how to create a Dockerfile and containerize a Python application. Next, you'll discover how to create and connect multiple docker containers together using Docker Compose. Finally, you'll learn how to make your application production-ready and debug it while it's running in a container. When you're finished with this course, you'll have the skills and knowledge of using Python with Docker that is needed to build robust and scalable Python applications in Docker.
Table of contents
About the author
Steven Haines is a principal software architect at Turbonomic, focusing on their cloud offering. He has authored three Java books, over 500 articles, and a couple dozen white papers, as well as teaching Java at the University of California, Irvine.
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