Page 108 - TCS ICT Book 8

The City School 2021-2022

This illustrates another great aspect of python and that is dynamic typing. This

concept is defined with respect to the point at which the variable data types are
checked. In our code, the variable is score which holds the value 9 which is a number,
or we can label it as a data. A variable just stores the value, whereas the value could

be of different data types. The data type defines the type of data that is stored in the

variable.
Being said that, dynamic type languages are those in which the data type checking
is done at the run time. We don’t have to declare the data type in our code in python.

Python is smart enough to judge which data type is being held by the variable.

Data Types in Python

Values have types, every piece of data has to have a type associated with it so it
knows what it is dealing with. Python sets the variable type based on the value that is

assigned to it. Following are the data types which will be used throughout in coding:

Numbers: integers and float
String: any character or text

Boolean: true or false

5.6. LIST in Python

In Python, you can store your data into variables, but you can also put them in lists. A

list is just an ordered collection of items which can be of any data type. Creating a list
is as simple as putting different comma separated values between square brackets.

Each element of a list is assigned a value by using an index.
An example of list could be: newList=[10,20,30,”Samsung”]

To call or print a specific element of list, write the following code:

Sample code:

# This defines a list called newList
newList=[10,20,30,”Samsung”]

# Prints the third element in the list; starting from 0

print(newList[3])

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