Data Science Jumpstart with 10 Projects Transcripts
Chapter: Welcome to the Course
Lecture: Running in Github Codespaces
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0:00
In this video I'm going to show how to run the notebooks from Codespace inside of GitHub.
0:06
What you're going to do is go to the repo and come over here on code and you're going to say Create Codespace on main. Just click that button.
0:15
What this is going to do is provision a cloud server. I've already set it up so it will install the appropriate libraries for you.
0:24
So we'll just wait for a while for this to set up. Okay, at this point it looks like it has started. It's put us into VS Code.
0:34
This is running again on GitHub's servers in the cloud. Bump up the font so it's a little bit easier to see.
0:42
What we're going to do is we're just going to go here to notebooks and I'm going to click the student data one.
0:48
It's going to open up the notebook up here. So here we have the notebook up here. I'm going to scroll down to a cell where I have code.
0:59
Click on the cell. I'm going to hold down ctrl and enter to run it. And it says up here
1:05
Type to choose a kernel source. You can see it's thinking about this. We will say create a Jupyter kernel.
1:13
I'm just going to select that button down there, the Python 3, and it should make one. Down here at the bottom it says it's connecting to a kernel.
1:24
You can see that it's now running. Codespaces makes it really easy for you to get set up quickly.
1:32
All you have to do is click that green button and wait for it to go.