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Hi there.
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Before we get started digging into different types of data structures and algorithms, I want to talk
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about what our data structures and why do we need them?
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One sentence description of data structure would be that they are basically different ways of storing
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data on our computer.
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This sentence may not be clear right now, so let me give you a concrete example here.
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Let's say we have a bunch of rules here.
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And it can be easily seen that they are not organized.
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So if you want to choose a black color, would you face a problem here?
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We need to check all of them one by one and to find out the black one sees this item are not in organized
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way.
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Selecting black one is time consuming and difficult.
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OK, let's look at the organized view of these items.
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What have we done here?
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We have just taken the unorganized items and put them in an organized way, so selecting a Blackwood
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from this list is very easy and it takes less time to find it.
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We know that.
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It's obviously seen that it's here.
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So when it comes to data structures, we are doing the same thing that we have done here, organizing
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the items is very clear that all softwares are dealing with data.
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So they do some operations based on given data before processing the data.
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We have to organize data in a certain way that makes the process very efficient.
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From software application performance point of view, the efficiency and the performance of software
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depends on how the data is stored, organized and grouped together during programming execution.
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Every day during our daily lives, we can see various types of data structures, there might be a crowd
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of people who want to get a ticket from the concert, but without organized way, it becomes almost
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impossible to get tickets.
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The organized way of people to get together is to it's also called community structure in computer science,
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which is first and first up, as you see from the picture, a person who comes first by sticker's first.
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So this is called First Infostrada in computer science.
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Another example is imagine there's a bunch of books on the table and you want to return them to the
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library.
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It's obvious that without organized way of ordering, we cannot carry these books.
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On the other hand, if you order them in this way, it becomes easier to carry them.
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And this reminds us that data structures in computer science.
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OK, we understand that we use data structures to make our application very efficient, but the problem
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is that there are many different types of data structures.
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So which one should we choose for best performance of software or app?
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You will find that answer to this question throughout this course while explaining all data structures
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and their use cases.
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And this is the main reason why big companies like Google, Apple, Amazon or Facebook ask questions
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about data structures and algorithms from the candidates during their interview process, a professional
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software developer has to know which data structure to choose for a particular app, which has a direct
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effect on the performance.
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So that's all for this video in the next video, we'll examine it was an algorithm.
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