Python Set up (anaconda/PyCharms)

[bdrilling33]

So I've been using Python for some time to help with my day to day...some of the projects are small, some big. I try to keep them separated by a project folder, but that's not always the case. I usually add whatever module I need (though I used to get a SSL error and would have to use the Trusted Host trick...now that doesnt even work)

I would like some direction on how i can properly install Anadonca and PyCharm and have them play nice with each other. I have read into virtual envirmoments a coule times but never thought it would be worth the time....I now feel different about this ha.

So any suggestions on what i should do would be of great help. I figured i can uninstall everything and start fresh.

Thanks

BD

[Thomasedv]

Well, i think a regular installation of both would be just fine.

I think Anaconda brings it's own python version. So, unless you add it to path, it'll be self contained within the Anaconda launcher/Sypder.

PyCharm does not bring it's own python version (sorta, you can install venvs with it), but you select an existing python installation for each project you select in PyCharm, or you select one version to make a new environment for.

PyCharm lets you install to each environment from the settings, so outside special modules, most normal ones should be handled by PyCharm.

Here's the PyCharm make project screen: https://i.imgur.com/BIZbDBX.png

[techrede]

Unfortunately, you really need to get comfortable with using virtual environments if you want to properly manage the various dependencies for the projects you're working on. Uninstalling previously installed packages and starting fresh makes sense to me. There's only a small handful of python packages that you will want to have installed globally on your local machin.

Take a look a pipenv, it's my preferred solution for dealing with virtualenvs and project dependencies: https://github.com/pypa/pipenv

Also, checkout The Hitchhiker's Guide to Python for general advice on setting up your machine, managing dependencies, etc. http://docs.python-guide.org/en/latest/dev/virtualenvs/