this post was submitted on 04 Sep 2024
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I read some articles about using a virtual environment in Docker. Their argument are that the purpose of virtualization in Docker is to introduce isolation and limit conflicts with system packages etc.

However, aren't Docker and Python-based images (e.g., python:*) already doing the same thing?

Can someone eli5 this whole thing?

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[โ€“] [email protected] 10 points 5 months ago* (last edited 5 months ago) (7 children)

It's not necessary but there is no reason not to.

Pros:

  • production and development programs are more similar
  • upgrading your base image won't affect your python packages
  • you can use multi stage builds to create drastically smaller final images

Cons:

  • you have to type venv/bin/python3 instead of just python3 in the run line of your dockerfile
[โ€“] naught -2 points 5 months ago

If you're on an apple silicon mac, docker performance can be atrocious if you are emulating. It can also be inconvenient to work with Docker volumes and networks. Python already has pyenv and tools like poetry and rye. Unless there's a need for Docker, I personally would generally avoid it (tho I do almost all my deployments via docker containers)

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