Overview of Python dependency management tools

Re:Overview of Python dependency management tools by cycomanic on Monday June 01, 2020 @01:44PM (#23381330)

Everytime I read an article about all these tools I really can't help but think what would happened if Linus would have taken over the desktop. All the tools really largely seem to try to poorly replicate Linux package management and the fact that because of this devs now don't care anymore about api stability and not always building against the latest and greatest.

I admit a pyenv is nice for testing against different python versions if necessary. But on my Linux systems generally fine with just installing system packages and doing pip install --user for the odd package that is not in the repositories

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Re:Overview of Python dependency management tools by mariokostelac on Monday June 01, 2020 @03:16PM (#23382505)

I think that works when you use Python cli tools, but not when you're working on 5 different projects, each running different python version.

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Re:Overview of Python dependency management tools by Sohcahtoa82 on Monday June 01, 2020 @03:52PM (#23382941)

Outside of Python 2/3 differences, are Python interpreters not backwards compatible?

In other words, while obviously a program written for 3.3 won't work in 2.7, but will a program written for 3.3 fail to run in 3.8?

If it runs fine, why the need for multiple interpreters? I'd think you'd get by just fine by having the latest 2.x and 3.x installed.

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Re:Overview of Python dependency management tools by Izkata on Monday June 01, 2020 @05:45PM (#23384326)

Because underscore-functions aren't truly private, I have once seen an upgrade from 2.7.8 to 2.7.13 fail. A commonly-used package was importing one from a core python module.

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Re:Overview of Python dependency management tools by mariokostelac on Monday June 01, 2020 @04:04PM (#23383079)

It's just about backward compatibility. If you don't run the exact version of python that's running in production, how do you know that you're not using some method that does not exist in production yet (because you run older version there)?

Also, libraries with binary component often have to be compiled against specific version of python.

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Re:Overview of Python dependency management tools by a_cool_username on Monday June 01, 2020 @04:26PM (#23383353)

Sometimes! A very simple example is code that uses "async" as a variable name. It became a keyword in 3.5, which was an enormous pain in the ass.

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