So I guess most of you are familiar with Jupyter notebooks.
If you are coming from machine learning, data science, etc. this.
This would be a very frequent tool for you.
If you don't.
Don't worry, Jupyter notebooks is super easy.
It's super easy to start using it.
Whenever you have a doubt, you just go to ChatGPT and ask.
That is the the good way always, and you will see that the use we are going to make for a Jupyter notebooks
is very simple.
Uh, in the next exercises you are going to learn how to create a new notebook, how to enter code or
markdown, how to run a cell, how to create or insert a new cell, and how to deal with error messages.
In my opinion, error messages are the weakest part of Jupyter notebooks.
And sometimes, you know, at the bottom of the error message, you have, uh, more or less clear,
uh, message, uh, that is easy to understand in some cases.
Uh, well, in most cases, what I do is I just copy the error message and I throw it to ChatGPT in
order for ChatGPT to tell me what is going on and what is the way to solve it, you don't solve it like
that.
You just copy the code that is creating an error, you know, and copy it to ChatGPT and say, okay,
what is happening here?
And in most cases, ChatGPT is going to identify the problem for you and you will learn, uh, from
that.