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So I guess most of you are familiar with Jupyter notebooks.

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If you are coming from machine learning, data science, etc. this.

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This would be a very frequent tool for you.

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If you don't.

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Don't worry, Jupyter notebooks is super easy.

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It's super easy to start using it.

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Whenever you have a doubt, you just go to ChatGPT and ask.

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That is the the good way always, and you will see that the use we are going to make for a Jupyter notebooks

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is very simple.

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Uh, in the next exercises you are going to learn how to create a new notebook, how to enter code or

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markdown, how to run a cell, how to create or insert a new cell, and how to deal with error messages.

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In my opinion, error messages are the weakest part of Jupyter notebooks.

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And sometimes, you know, at the bottom of the error message, you have, uh, more or less clear,

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uh, message, uh, that is easy to understand in some cases.

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Uh, well, in most cases, what I do is I just copy the error message and I throw it to ChatGPT in

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order for ChatGPT to tell me what is going on and what is the way to solve it, you don't solve it like

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that.

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You just copy the code that is creating an error, you know, and copy it to ChatGPT and say, okay,

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what is happening here?

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And in most cases, ChatGPT is going to identify the problem for you and you will learn, uh, from

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that.