Hi. In this short video we will explore how to do certain things,
what we did in the standard notebooks interface, like working with cells,
kernels, files and folders, or how to explore the notebooks.
Okay, now here on the left pane, we see the file browser.
When we right click on some file, uh,
we see all the options on how to make standard operations with files and
folders, like creating new folders, scoping, duplicating files,
deleting them, and so on.
Here we see all the open tabs, the kernels or running terminals
from Jupyter Lab. We can work directly with Git.
We see also that the table of contents is already present,
and here we can manage the Jupyter Lab's extensions.
Let's go to file. Here we see almost the same options,
uh, like in the classic notebooks interface,
including the options to export the notebook into various formats.
Uh, but of course we can still export the notebooks the other way, uh,
like we learned in the previous module from the command line,
because this doesn't depend if we are using classic Notebooks interface or
Jupyter app.
When you go to the edit tab, we have here the options on how to manage cells
in the view tab. We can change our view. Uh,
here we see also the options to start a command palette,
uh, or we can start the notebook as well. Application.
And also, as I mentioned, very useful thing sometimes is the lock console.
When you go to the run tab,
you see here the options regarding notebook execution.
In the kernel tab, we can manage the kernels. We can work with kit,
we can see all the open tabs and activate selected tap.
And in the setting step, uh, we can change the Jupiter lab settings.
When you go to the notebook here, we see the pain with, uh,
the shortcuts, uh, to notebook execution, execute current cells,
stop the kernel, restart the kernel, and run all cells and so on.
There are a few more, uh,
like the debugger wall application
here. This, uh,
is very useful when you make change to the notebook and want to compare it to
the previous version.
And, uh, basically here we can do the same with Git
when we click inside a cell, we are seeing here something new here.
And these are shortcuts to work with cells like, uh,
copy a selected cell moving upon down or orders.
But we can still use the keyboard shortcuts here
on the right side. What do we see on the right pane?
We see the cell metadata. We can change it from here directly.
For example, uh, the slide type when we are working with the reveal, uh,
presentation, or we can add, uh, cell tuck.
And this one is the Jupyter Labs debugger.
In our next video, we will learn how to use Jupyter Labs debugger.