Yeah, my experience with docker on windows has been pretty bad, uses high CPU and RAM at the best of times, at the worst completely hangs my computer on 100% CPU usage forcing a restart as the only fix.
I really don’t understand why people are overcomplicating this. You can install multiple Python versions at once on Windows and it just works fine (you can use the py command to select the one you want).
Virtual environments are designed exactly for this use case. They’ve got integrations for pretty much everything, they’re easy to delete/recreate, they’re really simple to use, they’re fast, and they just work.
If virtual environments alone aren’t quite enough you can use something like poetry or pipenv or the many other package management options, but in many cases even that is overkill.
That matches my experience as well. Nothing kills a developers motivation like spending time dealing with and debugging weird failures on their dev environments as opposed to actually working on the things they care about.
Yeah, my experience with docker on windows has been pretty bad, uses high CPU and RAM at the best of times, at the worst completely hangs my computer on 100% CPU usage forcing a restart as the only fix.
I really don’t understand why people are overcomplicating this. You can install multiple Python versions at once on Windows and it just works fine (you can use the
pycommand to select the one you want).Virtual environments are designed exactly for this use case. They’ve got integrations for pretty much everything, they’re easy to delete/recreate, they’re really simple to use, they’re fast, and they just work.
If virtual environments alone aren’t quite enough you can use something like poetry or pipenv or the many other package management options, but in many cases even that is overkill.
That matches my experience as well. Nothing kills a developers motivation like spending time dealing with and debugging weird failures on their dev environments as opposed to actually working on the things they care about.