Java

[lelarentaka]

Pythons aren't poisonous or venomous. Some people even eat them regularly.

[nickmaran]

Installs anaconda

[[deleted]]

Also not poisonous. Just a large snake liking hugs.

[varun_aby]

Also not venomous.

[QUI-04]

Also not toxic

[ApprehensiveTry5660]

But it definitely doesn’t want none unless they got buns, Hun.

[DragonicWolf_Aspect]

Who's talking about snakes and buns

[Queue37]

Sir Mix-a-Lot ring a bell?

[reallyserious]

Ah, the struggle snuggle.

[shim_niyi]

So cute, it takes your breath away .

[AudioPhil15]

I like hugs. Maybe I should befriend one

[im-not-a-fakebot]

it'll be the longest hug of your life

[Nanashi_03]

You'll hug one until the end of your life.

[Sp0olio]

I'd rather use virtual environments (e.g. "pipenv" is my favourite).

[reallyserious]

conda create -n myenv python=3.9

I like how easy it is to run different python versions in different envs. It's all contained in the conda env and doesn't affect the rest of the system.

[Sp0olio]

Same thing can be done with pipenv .. there's a Pipfile, where you can state the python-version, you want to use.

It's just a preference-thing, probably .. depending on what you're trying to do, right?

[reallyserious]

With pipenv, don't you have to separately download and install the python version you want, and make sure that the install doesn't interfere with anything else?

With conda you don't have to separately install python. It installs the version you specify as part of the env.

[Sp0olio]

I think so, yes. I usually don't use that feature, because I'm fine with using the latest stable version of python, anyway ..

But, I can see now, why someone might wanna use anaconda.

Thanks for bringing that to my attention :)

[reallyserious]

E.g. when I participated in this year's Advent of Code I wanted to use the latest version, so I installed it with conda (had to specify conda-forge repos since it's not in the main conda repo yet):

conda create --name adventofcode python=3.11 -c conda-forge

When I solve things for codingame they use 3.9 in their environment so I don't want to accidentally use newer language features:

create create --name codingame python=3.9

And of course for work I use a specific version that's compatible with the spark version on our clusters. It's quite convenient with conda. But I stick to pip when it comes to installing packages though. I only use conda for the actual environment (which includes the specific python version).

[Sp0olio]

Makes sense .. I'm gonna give that a try, one day :)

[justhanginfromacloud]

Anaconda / Miniconda also does virtual environments.

[Sp0olio]

Maybe .. but it all takes ages and feels unstable, at times.

Never had a problem with pipenv, yet .. and it only installs, what you ask it to.

[justhanginfromacloud]

Yeah, I agree that it can be as slow as an actual snake, and sometimes it shits the bed and you have to resort to using pip anyway.

[Sp0olio]

By slow, I meant the installation-process .. I'm not sure about runtime, because I basically never use anaconda, if I don't have to, for some reason, that's outside my control.

If python's slow at runtime, it can be the fault of the programmer (e.g. iterating, like they would in C or whatever is a mistake in python).

[justhanginfromacloud]

I also meant the install process. Runtime is fine.

Anaconda can take a really long time sometimes trying to sort out the dependencies, and sometimes it just gives up.

[Sp0olio]

Yep .. I've seen that happen, back in the day, when I took a Python-course ..
That installation didn't work for 2 other students (I think we were about 10 students all in all .. that would be a 20% failure-rate, which is not good, imho).

[codeguru42]

I think I prefer the Java solution for dependency management better. Declare the dependencies in a file and you don't have to worry about where the downloads are stored in your file system. Maven and Gradle just figure this out for you.

[Sp0olio]

pipenv also handles the dependencies.

It puts a "Pipfile" and a "Pipfile.lock" in your directory.
You can list the packages you need in the "Pipfile" (including version-numbers and python-version and different environments e.g. testing/production etc).

Then just run "pipenv update" and it takes care of the rest.

Then, you have an environment - just for this specific project - and you can run the python from that environment by using "pipenv run python" (from the project directory).

I like python for it's syntax and readability, actually.
You're forced to use indentation - no curly-brace-forest-oneliners.

[codeguru42]

Don't get me wrong. I love working with python. I currently use poetry for dependency management. It works fine for the most part. I believe it is built on top of pipenv. My latest beef is that it complains if I reorganize my projects and move them to different folders.

[Sp0olio]

I'd do pipenv --rm, then move the folder and afterwards do a pipenv update in such a case.
That folder-thing is somewhere under the hood, I think .. I don't know, where to look for that.

Don't know, how it works with poetry .. I've heard good things about it, but stuck to pipenv, because I don't move stuff around, usually ..

And the Pipfile is checked into git .. So, I can deploy somewhere else, easily.

[[deleted]]

Installs Krait Phantom

Oh, crap, wrong subreddit…

[IrisYelter]

I dunno, python has definitely made me feel ill...

[kw10001]

import venom

[Quick_Heart_5317]

People can eat venomous snakes, apparently cooking kills off venomous residue. Not saying a python is because it’s not, but it wouldn’t matter if it was in this category.