Hi. In this video we will create few Jupyter Hub users.
In our current setting, we'll be using the PAM identification,
which basically allows user management based on users,
which exists in the system. It allows to log in to Jupyter Hub,
any user which exists inside the container and has set up a system password.
He also must have a home directory. Uh, these are the steps. What they will do,
uh, we will log in into the container as ru again, we will, uh,
create a user, but this user one, which, uh,
we have already defined the configuration, uh, is already created.
When we restarted the container, uh, we will set up, uh, its, uh,
system password,
and we'll also create a symbol link of the shared folder so it's visible,
uh, from inside of his home directory.
We can now list all the users.
We see that the user one is already created and, uh,
let's create his password.
Now let's create the symbol link.
Okay. And now let's go to the browser and, uh,
let's try to log in as the user zero one.
We, that the Jupyter Hub is, uh, currently pounding the server
and it has been successful,
and we also see, uh, the shareholder. Nice.
Now let's create, uh, two other users, uh,
regular users because the user zero one, uh, we have set up as administrator.
Let's go now to the other browser,
and let's try to log in as the user zero two, for example.
Okay. It works. We've been successful. We have successfully, uh,
configured our Jupyter app and prepared it for our work.
Uh, in this image, uh, is only the dev default, uh,
global Python installed with pip, uh,
without any Python virtual environments manager like Anaconda. But if you want,
you can set up it. Of course, uh,
you can also log in without any special settings, uh, within the Land Network.
Uh, but be aware that, uh,
your antivirus or firewall rules might interfere.
In our next video, we will explore the administration panel.