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Instructor: Let's learn about the Python data types,

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all the options we have in Python.

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Now we're back to our repl.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 3.6.

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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 gonna 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

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and then we're gonna talk about each one individually.

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First, we have something called int,

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and you see right away when I type,

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I have the repl already give me hint

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and it's highlighting it.

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

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We also have something called float.

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We have buol, which stands for buolean.

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We have str, which stands for string,

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list,

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tuple,

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set,

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and dict.

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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,

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so you can think of it as exactly that, values.

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So int would represent all numbers, for example.

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String will represent all letters, for example.

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And a program is simply instructions

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that tell a computer what to do, and what does that mean?

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It's all about storing information,

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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

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when learning a programming language

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is that, well, we have these data types

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that we need to understand that exist in a language,

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and then we need to learn how we can manipulate the data,

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create, store, read, change,

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remove this data from the machine.

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Now, these data types are called

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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,

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we also have something called classes.

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So beyond these data types,

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we can actually create our own

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using something called classes.

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So these will be custom types.

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Again, something that we'll learn about.

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So I can create a class that I can name whatever I want.

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For example, SuperCar.

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Now that doesn't exist, but I can create it,

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and we'll explore how to do that in the course.

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Now, besides the fundamental data types,

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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,

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they're not built into Python,

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but they're special packages and modules

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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.

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Whenever we don't have a data type that we want

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in the standard Python package,

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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

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from what we call modules.

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So you can think of it as extensions

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that we can add to the language.

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Again, something that we'll talk about

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later on in the course.

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And then, finally, there's another type

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that is a little special called None.

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And None, as you can see, it's being highlighted,

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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

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in programming later on.

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So these are our data types that we're gonna talk

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and we're gonna use in our language.

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Now we're gonna start with the fundamental data types,

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which are nice and simple for us to get 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.

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Bye-bye.