Hi everyone.
In this lecture we will see how to join stats.
Let's see an example.
We have a tool says fruit, says one and a fruit.
That tool.
We join this who says together we use opted method of process one update said to.
Then we print the fruit, said one Alessi.
This example we write I already copied and we plus.
Right.
You see, we got the set.
By combining these two sets, said wait and see at home.
But are you seeing peers?
Why?
I term others.
See.
But when we get the new said, we only keep one because the items in the set are not duplicate for the
people not to see.
Okay?
You bet.
We can use the update methods to join any other iterable object like a couple leads to dictionary,
etc. to assess.
Let's see another example.
So this.
For example, we market at least a or die at least into the current set.
We have a full set, not least.
We use the method update below to set update below released.
Okay.
Then we display the note said.
Hey, we just heard here.
We ran the model, the you'll see we get the same results.
And the first method.
Okay.
They see the lecture.
For the next lecture we you learning how to join or merge two dictionaries the student.