Wrote a Guide on Docker for Beginners with a FastAPI Project

Getting your code to run everywhere the same way is harder than it sounds, especially when dependencies, OS differences, and Python versions get in the way. I recently wrote a blog on Docker, a powerful tool for packaging applications into portable, self-contained containers.
In the post, I walk through:

1. Why Docker matters for consistency, scalability, and isolation
2. Key concepts like images, containers, and registries
3. A practical example: Dockerizing a FastAPI app that serves an ML model

Read the full post: Medium
Code on GitHub: Code
Would love to hear your thoughts — especially if you’ve used Docker in real projects.