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Let's learn about the Python data types, all the options we have in Python.

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Now we're back to our Reppel.

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Got it.

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So we can write some Python code.

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We see over here that we're using Python version three point six.

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That's great.

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Let's minimize this and start writing our first Python code.

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Now we're going to talk about data types.

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And Python has several available to us.

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Now I'm going to list them out for you and then we're going to talk about each one individually, first

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we have something called Ent. and you see right away when I type, I have the Reppel already.

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Give me a hint and it's highlighting it.

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If I hover over it, it shows me that it stands for Integer.

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We also have something called float, we have bull.

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Which stands for bullying.

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We have SDR, which stands for String.

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Cupo.

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And DECT.

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Now, what are these?

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These are data types, right?

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A data type is a value in Python, so you can think of it as exactly that values.

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So it would represent all numbers.

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For example, String will represent all letters, for example, and a program is simply instructions

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that tell a computer what to do.

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And what does that mean?

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It's all about storing information or a data type and modifying that information.

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We're taking actions on these data types.

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So the two crucial steps, one, learning a programming language is that, well, we have these data

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types that we need to understand that exist in any language, and then we need to learn how we can manipulate

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the data, create store, read change, remove this data from the machine.

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Now, these data types are called the fundamental data types in Python.

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They are the core to the language.

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Now, after the fundamental data types, we also have something called classes.

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So beyond these data types, we can actually create our own.

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Using something called classis, so this will be custom types, again, something that we'll learn about

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so I can create a class that I can name whatever I want, for example, super car.

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Now, that doesn't exist, but I can create it and we'll explore how to do that in the course.

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Now, besides the fundamental data types, the classes, which will be our own custom types.

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We also have something called specialized data types.

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And these specialized data types, they're not built into Python, but they're special packages and

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modules that we can use from libraries.

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Now, again, this is a topic that we'll cover later.

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But these are you can think of it as extra boosts whenever we don't have a data type that we want in

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the standard Python package and maybe we don't want to create our own custom types.

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There are specialized data types that we can use from what we call modules.

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So you can think of it as extensions that we can add to the language.

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Again, something that we'll talk about later on in the course.

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And then finally, there's another type that is a little special called None and None.

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As you can see, it's being highlighted, which means it means something in the language.

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None, as the name suggests, means nothing.

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It's kind of like the idea of zero in math.

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It's the absence of value.

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It's simply nothing.

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And you'll see why this is important in programming later on.

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So these are our data types that we're going to talk and we're going to use in our language.

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Now, we're going to start with the fundamental data types, which are nice and simple for us to get

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through.

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So let's start one by one.

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And you know what?

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Let's start with these two for now.

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I'll see you in the next one, but my.