Let's learn about the Python data types.
All the options we have in Python.
Now we're back to our reply.
So we can write some Python code.
We see over here that we're using Python version 3.6.
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 rebel already.
Give me a hint and it's highlighting it if I hover over it.
It shows me that INT stands for integer.
We also have something called float.
We have bull.
Which stands for bullying.
We have SDR, which stands for String.
List.
Tuple.
Set.
And dict.
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 when learning a programming language is that, well, we have these data types
that we need to understand that exist in a 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 classes.
So these 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.
Bye bye.