Let's learn about the Python data types, all the options we have in Python.
Now we're back to our Reppel.
Got it.
So we can write some Python code.
We see over here that we're using Python version three point six.
That's great.
Let's minimize this and start writing our first Python code.
Now we're going to talk about data types.
And Python has several available to us.
Now I'm going to list them out for you and then we're going to talk about each one individually, first
we have something called Ent. and you see right away when I type, I have the Reppel already.
Give me a hint and it's highlighting it.
If I hover over it, it shows me that it stands for Integer.
We also have something called float, we have bull.
Which stands for bullying.
We have SDR, which stands for String.
Cupo.
And DECT.
Now, what are these?
These are data types, right?
A data type is a value in Python, so you can think of it as exactly that values.
So it would represent all numbers.
For example, String will represent all letters, for example, and a program is simply instructions
that tell a computer what to do.
And what does that mean?
It's all about storing information or a data type and modifying that information.
We're taking actions on these data types.
So the two crucial steps, one, learning a programming language is that, well, we have these data
types that we need to understand that exist in any language, and then we need to learn how we can manipulate
the data, create store, read change, remove this data from the machine.
Now, these data types are called the fundamental data types in Python.
They are the core to the language.
Now, after the fundamental data types, we also have something called classes.
So beyond these data types, we can actually create our own.
Using something called classis, so this will be custom types, again, something that we'll learn about
so I can create a class that I can name whatever I want, for example, super car.
Now, that doesn't exist, but I can create it and we'll explore how to do that in the course.
Now, besides the fundamental data types, the classes, which will be our own custom types.
We also have something called specialized data types.
And these specialized data types, they're not built into Python, but they're special packages and
modules that we can use from libraries.
Now, again, this is a topic that we'll cover later.
But these are you can think of it as extra boosts whenever we don't have a data type that we want in
the standard Python package and maybe we don't want to create our own custom types.
There are specialized data types that we can use from what we call modules.
So you can think of it as extensions that we can add to the language.
Again, something that we'll talk about later on in the course.
And then finally, there's another type that is a little special called None and None.
As you can see, it's being highlighted, which means it means something in the language.
None, as the name suggests, means nothing.
It's kind of like the idea of zero in math.
It's the absence of value.
It's simply nothing.
And you'll see why this is important in programming later on.
So these are our data types that we're going to talk and we're going to use in our language.
Now, we're going to start with the fundamental data types, which are nice and simple for us to get
through.
So let's start one by one.
And you know what?
Let's start with these two for now.
I'll see you in the next one, but my.