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Hi friends, here we are

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going to discuss about data structures of Python.

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So before entering into this concept, right already we know

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what is a variable in Python.

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Right. So variables are used to store some data. Even data

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structures are also variables, and they are used to store data but

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the data is collection of data.

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Let me explain that to you on my command line.

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So let me enter into my python.

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So, you know normal variables like 'x=5',

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then I can say the value of 'x' is 5, and I can see with the

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help of 'print(x)', right. Now sometimes

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you need to define a number of variables. Instead of defining

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number of variables,

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what I will do is I will take only one variable,

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let's say 'my_values', you can take like 'xyz' also, your

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variable name but I am taking 'my_values=',

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like you can take any type of data.

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You can represent your data inside of, suppose your square

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brackets with commas separated values and then you can assign

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the result into some variable. Now here,

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here 'x' is a variable and 'my_values' is also a variable, but

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there is a small difference between these two. That is 'x' is

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a normal variable and which is used to hold only one single

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value. Now I have a list, list of values.

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I stored this list of values into this variable, right?

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I collected collection of data and I stored that data into

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one variable called 'my_values'. Now here 'my_values' is also

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a variable but it is storing multiple data. Now this

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is called data structure.

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[no audio]

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Right. So guys, there is not much difference between your normal

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variable and data structure variable, both are variables.

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The only thing is, your normal variable is able to hold one

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value, but your data structure variable is able to

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hold multiple values, right? That's it.

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Other than that nothing is there. But how you are going to

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structure your data, how you are going to store your data

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into your variable,

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what are the symbols you are using, based on this we have different

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types of data structures with your Python.

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Right. Let me start that. First thing that data structures are used

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to store a collection of data. That collection of data may

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be pure integers, pure float, right, or pure string numbers,

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string values, or maybe combination of all, no problem.

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You can store any type of data, combination of any type of

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data you can store into your data structure.

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[no audio]

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Right. Then, there are four built-in data structures with

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your Python, right. Built-in means by default

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you have these data structures.

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So based on some modules, you may get some other data structures

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as well. Suppose if you go

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with arrays modules, you have some array data structure.

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Okay, as of now by default with your Python you are getting

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these are the four different data structures with your Python.

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They are by default you have with your Python.

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Okay. Now 'List', you have to represent with square brackets,

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I mean you have to write your data inside of this. 'Tuple',

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while writing your data you have to use parentheses. 'Dictionary',

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you have to write your data with curly braces with key-value

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pair representation

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like your dictionary book. 'Set', sets are represented with curly braces,

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but values are like 'List' and 'Tuple'. But there is some unique

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property with sets, we will see them.

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So guys, these are the four data structures, and as an

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automation engineer you should be good with first three

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data structures.

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Right. And we will see about each data structure separately,

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okay, in later videos.

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So as of now you have to remember there are four data structures,

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right? All data structures are used to store multiple data

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or collection of data, right?

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That is the purpose of data structures.

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And finally you have to remember that data structures are

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also variables.

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Right. Okay guys,

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thank you for watching this video.

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