How can I optimize Docker builds to cache Python dependencies?

Asked 7 months ago

I'm currently building a Docker image for my Python application, and it takes a long time to rebuild whenever I make changes to my code or dependencies. This significantly slows down my development process. How can I optimize my Docker builds to cache Python dependencies and (maybe) speed up the build process?

Filip Dimkovski

Tuesday, October 03, 2023

One of the easiest ways to cache Python dependencies and optimize Docker builds is to use Docker's layering system effectively. I'd recommend you start by creating a dedicated Dockerfile stage for installing dependencies, and then use a `requirements.txt` file to list your Python packages and versions.

As you can already guess, Docker caches this stage unless your requirements change, making builds much more efficient and faster. Additionally, consider using a base image that includes commonly used dependencies to further enhance caching.

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