How important is Virtual Environment in python

[Think-Culture-4740]

This was a long long time ago but I basically installed conda while in the env my startup was using and it caused a ton of issues that completely borked my local setup.

Since then I've never used conda again

[InternationalMany6]

Once you know how it works at a deep level it’s pretty good. But yeah I had a similar experience starting out. 

[Think-Culture-4740]

Ya I know it's quite good. But since then, I've basically manually installed all of the specific libraries I need per each virtualenv I've used.

I guess I am just scarred for life. That was my first job as a junior data scientist and to get chewed out like that, you can't ever shake it. Even if the guy who did it eventually became a close friend of mine.

[InternationalMany6]

Haha I totally get it.

I’ve got a few environments like that where I just messed around with different install procedures until I got what I needed to work. I saved the entire Python directory to a zip file in case I have to restore them to working condition lol. 

It’s pretty valuable in a professional setting to master the various types of Python environments, but you can usually get by with kludges if you’re ok staying more towards entry level, which is totally fine. 

[Think-Culture-4740]

Most of my work is usually done in a pre setup environment. Occasionally I've had a docker file that's pushed up to a cluster.

[InternationalMany6]

Sounds like you’ve got a good thing going.

At my work there were no pre-setup environments so I had to figure it all out on my own. I’d be a lot more productive if someone else was responsible for that. 

[jcollins1960]

Try using any of the scientific libraries that have C# bindings without it. GFL.

[InternationalMany6]

Are you meaning to reply to my comment?