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Please speedup Pipenv
See original GitHub issueIn a project with about 10 prod deps, pipenv install took about 10 minutes. Then we added jupyter, scikit-learn, andtensorflow and it ground to a halt. Over an hour later, it was still “locking”. pipenv lock --clear didn’t help.
We switched to pip and it installed all the deps in a couple of minutes. We reckon pipenv needs to be at-least as fast as pip in all operations, as dev time is valuable. We can all agree an hour waiting for an operation is not justifiable, especially for a tool as handy as pipenv.
Issue Analytics
- State:
- Created 3 years ago
- Comments:6 (2 by maintainers)
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Sounds like a good enhancement. I look forward to your contributions!
After the “do it yourself” snark above, we decided to give Poetry a try. It has none of the speed issues, and has so far been a pleasant experience getting it to the same functionality pipenv was giving us. Also from the pull request and issues responses, one can tell the devs are about improving DX, which makes it a nice package to associate with.
As we know anyone can learn anything, all they have to do is start and not stop. Programming is no exception, and the age thing is just yet another gaslight. So it’s really about whether one is willing to spend their time contributing to the project, and detailed design docs are developer in-groupism, an unspoken welcome to software engineers; shows your time and effort will be respected.