DevSpaces for Python Configuration
Python can be a major pain to configure. There are different tools, like pyenv, virtualenv, system installed packages, conda, and more!
With DevSpaces, no matter what tool you use to manage your Python packages, all of your developers will have a consistent experience. No more "it worked on my machine."
Check out this segment as 3 developers talk about their experience using DevSpaces with Python, and all of the issues about Python environment managment.
1:12 - "If they give you a gitpod for their project, then they have done the devops so you don't have to remember, or you can at least look at what their script install did. You get notes and hints of how it works."
1:43 -"Now in a Devspace, I have the capability to deploy configurations, and they don't need to know the black box of how that configuration is implemented."
2:19 - "I've definitely had environments taped together with a large batch of symbolic links."
To try out DevSpaces, go visit:
https://ayr.app/l/7mgQ/
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