I've been learning python over the weekends just for fun and I really can't figure out how to install a pip package. I keep getting this 'error', would like some help in this regard. I'm following this free tutorial on . I tried searching through stackoverflow, but none of the answers seem to help me.

Very stupid suggestion but what’s that $ doing there?

Get rid of the `$`in the front. You are not supposed to type that.

Removed the

$

, get this now

So, first some conventions:

$

in front of a command means its supposed to run on a terminal.

#

in front of a command means its supposed to run on a terminal but with root permissions (or use

sudo

but you don't have to put that symbol. Next, you're using Python 2 which is EOL and the package isn't supported. Use

homebrew

and install python 3 https://docs.python-guide.org/starting/install3/osx/ Then use pipenv or virtualenv to create a separate environment & then install what you want

how's that happening? I remember installing python 3.9

+1 on Virtual environments

Hey thanks @modern-table-48211, I'll try doing a clean install

Btw could you try

pip3 install openpyxl

instead?

sure let me do that

Perfect! Next Steps: 1. Create a virtual environment with python3 2.

pip install

will be the default for python3 then

Thanks a ton. Btw what's the advantage of creating a virtual environment? Is it really necessary?

I would recommend to have

zsh

for your terminal. It has cool helpful features

mac comes with zsh by default.

Thanks a ton. Btw what’s the advantage of creating a virtual environment? Is it really necessary?

You could have multiple environments for multiple projects. It would decouple the packages and dependencies

virtual environments help in avoiding conflicting dependencies, esp if you're using multiple projects each having their own specific versions

Man, last night I had to downgrade from py3.9 to py3.8. The library I was working on wasn’t supported on py3.9

Thanks guys, I yet don't have the complete understanding but will read up and try setting a virtual environment first.

I'd suggest using a conda env. Far easier to maintain and better support than the virtual env package.