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Hello, in this video, we will discuss Satz, which is our third data-collection, after we have successfully

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completed lists and dictionaries.

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So let's start with a quick example of a a collection.

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We have a fruitcake collection here and it starts with curly brackets.

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And then we have values inside quotation marks divided by comma.

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So it looks a lot like a list.

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Right.

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But there is a visual difference that we can immediately identify that we're dealing with a set and

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not with the list, the curly brackets, the curly brackets.

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Give it the way that this is a set and not a list.

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And this is the first visual difference between a set and a list.

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Which brings me to the next topic.

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OK, now we're going to discuss what is what are the differences between lists and set.

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And I want to talk about it because it's very important from two reasons.

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First of all, once you wanted to use it in your code, you need to know the differences between lists,

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dictionaries set and tuple because they were invented for a reason.

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They're not just there and they're doing the same thing.

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No, they have different purposes.

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They have different functionalities.

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And you need to know the difference between them in order to use them properly.

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Whether you want to become a web developer later on or an information web developer or a backhand developer,

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it doesn't matter.

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Whoever uses Python is to know the difference between these four items.

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So I'm going to discuss it a lot in this case.

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We'll discuss this and SAT and maybe further along will compare other data collections as well.

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So let's start with the first star.

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And a list can contain the same value in several cells.

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OK, we can create a list and put, for example, banana, apple, berry and banana again.

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There's no problem with it.

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So the list gives us this ability to have duplicate items inside our cells, while set collection cannot

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have the same value in more than one cell.

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Well, it basically can have more than one value.

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But if we try to use that value, we will fail to do so.

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So, for example, if I put.

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Another banana item right here and then I'll try to print it.

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I will not see two banana items when I printed, I was the only one banana item.

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OK, you understand what I'm going to show this.

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This thing is a valuable onion set and it's not available on list, this functionality of remains of

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keeping a non duplicate items when using the set so you can put duplicate inside the set.

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But once you try to extract it, you will fail to do so.

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OK, the different the second difference is liste is in order the collection, meaning he has an index

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and cell values can be accessed by index while set in.

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The other hand is in an ordered collection.

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Same as a dictionary and does not have an index value for each cell.

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So as you recall in dictionary, we started the lecture by saying, hey guys, this is an unordered

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list, meaning it does not have a index for each cell and list does have a index for each cell.

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We can access cell number zero, cell number two or whatever.

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While dictionaries and sets does not have this index parameter or index feature, you might say, in

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them.

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OK, so the third difference we already discussed said is written with curly brackets and in a list

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at least we'll use around brackets.

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OK, so this is the third difference and the last one inset.

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Once an item is created, you cannot change it.

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OK, if we try to recall from our lectures regarding lists and dictionaries as well, the same.

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So in lists and dictionaries, there's no problem to change the value of the cell.

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We can do whatever manipulations upon the inner values they are to change them and without any problem.

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But here in said, you cannot change the value.

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And I'm sure there are thousands of cases where developers need this feature or they need to create

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a certain collection that will be permanent and cannot be changed.

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So this is the fourth difference between leased and set.

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And before beginning the section, I said there are two reasons and I explained only I explained only

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one.

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I said only the first reason.

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And the second reason is you eventually going to go to interviews, OK?

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And once you put the python in your resume, you obviously going to be asked about it.

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And this question is really high percent that it will come up because it's a tricky one.

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All right.

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For example, tell me two differences between a list and a set, and you need to really know your thing

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and to know the the difference between them to answer it correctly.

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OK, so it's really important to know these things.

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This is what makes a difference between a mediocre developer and a a ninja developer.

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OK, and I want you to be ninja's by the end of this course.

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And this is why I'm giving you this extra information, which is not only like three examples and practice.

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You have also additional knowledge here, like background knowledge regarding development and features.

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And this is very important.

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OK, so one more thing.

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As you can see here in the headline, you do not have basics in the title.

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And this is because set contains already some elements that we've been walked through in lists and dictionaries.

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So this this data collection and theory will be shorter.

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OK, there are some topics which are longer, for example, dictionaries and some are shorter.

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So this one is a bit shorter.

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OK, so now let's head over to the next topic and see some quick manipulations and things that we can

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do with set.

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OK, so first of all, how to access items in a set so we cannot access a set sell-by index, as we

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mentioned already.

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But what we can do is to check if it exists by using boolean statement.

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And why do I need what do I mean by that?

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So if we want to know whether a banana item is inside a set, we should use the following action.

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OK, so we have this data collection up here and we have a banana item here inside the cell.

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So we want to know whether.

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The banana item is inside the set, the set and collection, so we just do the following thing, we

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just write a print because we want some output to know if it's there or not.

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And then we want to do the following thing.

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We want to use the key word in.

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OK, so what this means basically is it's a key word, OK?

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It's a save the word.

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And this word means like a question mark for us.

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I'm saying it for us to understand, like those banana is in fruits, that collection.

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The answer is Boolean is a boolean value.

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So it's a true or false value.

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So in this case, banana is in fruit collection, so the output will be true.

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OK, so this is how you verify for certain element is inside the set collection.

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All right.

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Our following topics will be Loop's and using Loop's.

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We can extract all the values out of every data-collection, but we haven't studied Lupe's yet.

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So here you can only just verify this point, only verify for certain items inside the set for there

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aren't.

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We'll learn how to extract values further in the next videos.

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OK, so next in line is how to delete items of a set so we can remove items from a set by using the

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remove action or the discard action.

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So basically they are the same.

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So it's really simple.

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You just mention the SEP collection, then use the remove action keyword and then use the item that

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you want to remove.

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OK, and now let us see how to add items to a set, OK, so we can only add or remove items, but we

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cannot change items so we can remove items from SL.

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By using sorry, we can add items to it to a set collection by using the action would add or update.

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OK, they are the same, so just mention the sad collection and then use the add keyword and use the

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value that you want to add.

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It's pretty simple, right?

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OK, and one last thing, as we already discussed, regarding duplicates.

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All right, so let's see the following example.

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OK, so we will have duplicate items inside that.

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Once printing it, Python will ignore duplications and will print only one of the duplicated items.

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So a quick example.

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Once having this set collection will try to print it.

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But pay attention.

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You have banana and another banana right here.

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So if we print it out, we will have only one banana value.

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All right.

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I cannot assure you that the first item will be printed all the time because Python arranges its memory

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inside our computer in a certain way.

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And as we mentioned earlier, this is an unordered list.

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So there's no indexes here for zero one two.

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There's no such thing.

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So we cannot assure that this value always will be printed and this value will be ignored.

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But we can assure that only one of the banana items would be printed out as circulation does not tolerate

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duplications.

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OK, this it covers about the theory regarding said.

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And let us go to the next video and see some examples in the code.

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All right.

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Bye bye.