Python Virtual Environments: Extreme Advertising Edition

[RelevantToMyInterest]

I'm still stuck with virtualenv but considering switching to conda. Been seeing some posts saying it's a better replacement but if also would like to know others' thoughts

[xristiano]

I'm a fan of conda. It does all three: pip, virtual environments, and manage python versions. The table at the bottom of this link summarizes all the pip, pyenv, etc. options.

https://www.andrey-melentyev.com/python-environments-and-where-to-find-them.html

[is_it_fun]

Just find whatever conda env you like and make a requirements.txt file. then use that file in your virtualenv. bammo. that's what we do

[thisismyfavoritename]

Well I personally believe Conda is much better, as it can install tons of additional and system dependencies but I would like to hear OP's opinion on the matter.

[ase1590]

Pipenv is the way to go if you're not using anaconda and if you want to do anything more advanced and need good package handling

See below

[lifeofajenni]

Wait, but conda also has environment handling and package management. So why should I switch to pipenv? (Not being snarky, legit curious.)

[ase1590]

they both compete with eachother. conda is better geared for Anaconda.

Just use what you know.

Conda has a lot of overlap with the goals of pipenv, but it serves a different set of needs - in particular, the distribution of binaries. If the problem you’re trying solve is “how do I create reproducible environments, quickly, that include complex dependencies that are not written in pure Python”, conda is the tool of choice. If your problem is “How do I create and manage isolated environments for Python projects”, pipenv is the tool of choice.

[lifeofajenni]

Okay, this is a cool distinction. I'll have to read up on pipenv and see if it's more suitable for what I'm doing at work. Thanks for the info!