Original subtitles

Hi there.

Before we get started digging into different types of data structures and algorithms, I want to talk

about what our data structures and why do we need them?

One sentence description of data structure would be that they are basically different ways of storing

data on our computer.

This sentence may not be clear right now, so let me give you a concrete example here.

Let's say we have a bunch of rules here.

And it can be easily seen that they are not organized.

So if you want to choose a black color, would you face a problem here?

We need to check all of them one by one and to find out the black one sees this item are not in organized

way.

Selecting black one is time consuming and difficult.

OK, let's look at the organized view of these items.

What have we done here?

We have just taken the unorganized items and put them in an organized way, so selecting a Blackwood

from this list is very easy and it takes less time to find it.

We know that.

It's obviously seen that it's here.

So when it comes to data structures, we are doing the same thing that we have done here, organizing

the items is very clear that all softwares are dealing with data.

So they do some operations based on given data before processing the data.

We have to organize data in a certain way that makes the process very efficient.

From software application performance point of view, the efficiency and the performance of software

depends on how the data is stored, organized and grouped together during programming execution.

Every day during our daily lives, we can see various types of data structures, there might be a crowd

of people who want to get a ticket from the concert, but without organized way, it becomes almost

impossible to get tickets.

The organized way of people to get together is to it's also called community structure in computer science,

which is first and first up, as you see from the picture, a person who comes first by sticker's first.

So this is called First Infostrada in computer science.

Another example is imagine there's a bunch of books on the table and you want to return them to the

library.

It's obvious that without organized way of ordering, we cannot carry these books.

On the other hand, if you order them in this way, it becomes easier to carry them.

And this reminds us that data structures in computer science.

OK, we understand that we use data structures to make our application very efficient, but the problem

is that there are many different types of data structures.

So which one should we choose for best performance of software or app?

You will find that answer to this question throughout this course while explaining all data structures

and their use cases.

And this is the main reason why big companies like Google, Apple, Amazon or Facebook ask questions

about data structures and algorithms from the candidates during their interview process, a professional

software developer has to know which data structure to choose for a particular app, which has a direct

effect on the performance.

So that's all for this video in the next video, we'll examine it was an algorithm.