Setup PyCharm to use a Conda environment

[@raferafe-ui5oh]

Thanks for the quick succinct explanation. Beginner coder here that was migrating machines and had reconfigured environment three times on the new machine and I could not get pycharm to see any of the environments - 3 min video and done Thanks again

[@Alex-bl4lt]

Thank you so much, your videos on Conda helped me understand how everything works!!

[@DennisMadsen]

Happy to help!

[@lionbrunch4244]

Awesome! This vid solved what I've been struggling for an hour to do

[@Baby_Penguin01]

thank you bro, was trying to use aesara in pycharm for uni and could only get it working manually through terminal but not when running code through a file. you have saved me a lot of time and manual line by line coding, mega nice

[@muchen597]

could i ask a question? What is the meaning of executable conda in the setting? Do I need to select a conda myself?

[@gowthamangobalasingam624]

I don't really understand why we set different environments for different python projects. Do they not heavily occupy a lot of storage when we install many packages in every environment?

[@DennisMadsen]

Hi @Gowthaman. Good point you are making. This is indeed a downside of CONDA. Each environment can easily take up a few GB. You can also have a generic environment which you use everywhere. Often, however, you'll have projects which are relying on a specific version of some package. This is were CONDA comes in handy. You can also get in the situation that some packages are interfering with each other. In that case, you can keep them in separate environments. Especially within deep-learning, you'll find that the progress made in the libraries goes so fast, so they are quick to cut backward compatibility. So if you are trying out a project using tensorflow version 1.2 or so, then you just make an environment for that, instead of removing your newest version of tensorflow you might be using and installing an older version.

[@elliotmunro8115]

Thank you sir! I was trying so hard to figure this out all day haha!

[@wurz_alex]

Hi!! I'm struggling in trying to apply this procedure. I'm using Manjaro (Linux distro) and the problem is that when I get to copy and paste the path to the python interpreter, it is not accepted as it is not seen as a "conda executable". I think it has something to do with the installation of conda or of python itself, how can I solve? Thank you a lot!

[@dip9325]

Great video - straight to the point

[@Javimac92]

Thank you Dennis. This helped me a lot!

[@DennisMadsen]

Great to hear!

[@quckychang3486]

why I don't have m1? just the base. help!

[@mybankbalanceis0]

what is the windows equivalent of which python command?

[@DennisMadsen]

I'm not a Windows user myself, but I think `where python` should work.

[@hkshimanshukumar]

I am only being shown the base environment while searching for Conda environment list ho to get the ML one

[@DennisMadsen]

Hi Himanshu. Sounds like the ml environment was not properly installed then. Have a look at my other video on how to create your own environment from an .yml config file kzbin.info/www/bejne/iKGapmqLrrKSb9k

[@Ruby-jq7ty]

mine keeps saying select path to conda executable and wont let me proceed does anyone know where I went wrong?

[@dnsld]

thanks for making this video and sharing

[@DennisMadsen]

My pleasure!

[@avinashjha5902]

BRO!!!! A BIGG ASS THANKKSS TO YOU.....

[@DennisMadsen]

Your welcome!

[@hasanserdarmacit6901]

thank you

[@SaadShah1133]

Great video

[@juandiegoescobarlondono6095]

Thank you.

[@TimurDE]

Thank you!!

[@mr_pip_]

👍👍👍