All language subtitles for 6. Type of object Tuple and list

And when and welcome in this new video in this video, we are going to talk about tipple analysts.

In the previous video, we have seen that we can store data in a variable, but we have only seen that

we can store one data in one variable.

But for example, if you want to store.

Many information about one person in one variable, it's not possible with all actual knowledge, so

to do it, we need to use a tipple or a list.

For example, if I want to create a table, it is very simple.

I just have to put all data in parentheses and separate each value by a comma.

The little problem with the tipple is that once we have created portable, we cannot change it.

We cannot add something.

We cannot delete something.

So it can be very interesting sometimes to work with double.

But usually we work with lists.

A list is exactly the same thing.

That tipple, because we need, we can.

So we store many value in one variable using lists.

But later we will can have, for example, no delete, no undue indexing like process, string, etc..

So it is more interesting to work with lists, except for very specific tasks.

So.

To create a list, we do exactly the same thing as before, but to then imitate the list we not use.

Parentheses, but we use brackets

to tell it to Python that it is not a tipple, but at.

So for example, if I want to add.

And no, in the least, I can use the append function to my list.

So and now if I display my list, we can see that this number is in my list.

No, but the append function works only if you want to put a new object one by one if you want, for

example, to add a list.

So if you want to have many object in the same things, we can use this time to extend function.

But we need to put at least as input.

For example, if I put.

We can see that.

No, all lists contain.

This list, plus this number and plus this list, so now we need to talk about indexing.

Indexing in this is exactly the same thing that's for the string.

So, for example, if I want to take the first the value of the list, which is indexing by the value

zero because in Python, we begin to count from zero.

We need to put the name of the lists, then put Aperol brackets and the number of the index that we

want.

If you want to take a specific wrench, we will follow also the exact syntax.

Then the string.

So now, if I want to delete a value in my list, I will use that then up rental, so I put then the

name of the list, I put a pair of rockets.

And now in.

The pair of rocket, we need to put the index of the value that we want to delete.

So if I want to delete the one, I will put zero.

And as we can see, the one as been deleted.

But.

And now we have just seen a list containing members, but a list can contain.

All the type of object, for example, a list can contain Boolean string, et cetera, but it can cause

it can also contain a list.

For example, we can do a list of the list.

So if they create a new list, we can put a list then and then burned, then string, etc. And if I

want to extract only the third list here, I can do it using the indexing.

So we just have to put Z because the first object of the list is this sub list and it is the first object

of the list, so it is indexing by the value zero.

So now if I want to extract the value putting.

We can do it using a double indexation, because as we can see, this first indexation give you give

us the simplest and.

So to extract the 15, we just have to index.

The simplest so we need to do the first indexing on their list.

My list and a double indexing on the sub lists.

Which contained 115.

So now 15 is at the second position in the list, so we need to index by the value one.

So now we have seen a lot of things about toppled and lists, and I will invite you again to play with

all this operation because it is honestly, really important to muster all the patent part to abort

the next chapter.

Because if it's in the next chapter, when we are going to talk about trading and application in Python,

if you're not comfortable with the Python notion, you will be not comfortable with the algorithmic

trading by extension because we need to code.

So I will invite you to play with all the thing that we have seen.