Step 4: Linking VSCode to the container
You didn’t assume we’d come all the way in which right here to run a bunch of expressions within the silly shell, did you?
Oh no. We’re going to hyperlink the container with Python 3.12 to VSCode and write up some scripts to check the brand new model for actual.
So, in any listing in your machine, open VSCode (I hope you’ve gotten it configured for Python and data science).
$ cd some_dir
$ code . # Launches VSCode
Then, set up the Distant Growth extension:
Reload VSCode. Then, soar over to your Docker Desktop and click on on Containers menu:
You will note an inventory of working containers. My model of Python 3.12 is named adoring_dirac. Proper now, it is not working as a result of I exited out of the Python shell in my CLI. To run it, I press the play button which launches the container.
Now, go to VSCode once more and open the command palette (Ctrl + Shift + P) and seek for “Connect to working containers”. Here’s a useful GIF:
As quickly as you click on on a working container occasion with Python 3.12 as the bottom picture, a brand new VSCode window will pop up that’s instantly linked to the container.
Keep in mind, this container is remoted out of your working system, so any information you create or edit or any terminal classes you launch might be remoted as nicely and gained’t be seen.
So, that is your inexperienced mild to attempt something contained in the container to check Python 3.12. Other than creating scripts,
you may also set up different software program like Conda, Git, DVC, and just about deal with the container like you’ve gotten a model new, empty pc with solely Python 3.12 put in.
