Basic Datatypes in Python 3
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Basic Datatypes in Python 3

Friday, April 8, 20226 min read

You might have heard that This is the era of Data in the IT Industry.

Today's internet and business world are full of data. Your data is being collected, processed, and used on a vast scale every day. But we need to understand What is Data? and how we can use it in our python program.

If you are interested in watching a video tutorial in Hindi, you can watch it here.

What is Data?

Before starting with DataTypes, we need to understand what is Data.

  • Data is the information that we store on our computers. It can be anything from a number to a text.

  • An example of data might be

    • username
    • password
    • date of birth
    • girlfriend's name
    • 12th-grade marks

  • This information is accessible for us as humans to understand, but the computer has a specific way of handling different data types.

What are DataTypes?

The data we discussed above can be in various forms. For example, if there is a number, we expect to be able to do mathematical operations on it.

So for the computer to know that the information is of which type and which operations we can perform on that data, we need to define a datatype.

What are the datatypes in Python?

Python is a vast and powerful programming language. It has an enormous number of data types to handle all the different kinds of data.

Let's discuss each of these data types briefly.

All the data types are case sensitive. They need to be written in the exact same case.

int - Integer

It is used to store whole numbers. It can be positive or negative. You can perform mathematical operations on it like addition, subtraction, multiplication, division, modulus, etc.

It can be used to store values like your age or number of students etc.

Example of integer:

float - Floating point number

It is used to store decimal numbers. Like int, it can be positive or negative, and you can perform mathematical operations on it.

It can be used to store values like your GPA or your height etc.

Example of float:

bool - Boolean

bool or Boolean is an important data type. It is used to store True or False values. It is highly used in conditional and iterative statements.

It is used to specify if a given condition is true or false. Like if the given password is correct or not.

Example of bool:

str - String

The string is a very important data type. It is used to store text. It is used to store words, sentences, or any other kind of text. It is written in 'single-quotes' or "double-quotes".

It can be used to store information like your name or your address etc.

Example of str:

list - List

list is a complex datatype. It is used to store multiple values in a single variable. List is defined by square brackets. A comma separates each element of the list. These values can be accessed by index.

The first element of the list is at index 0. Then the second element is at index 1 and so on. If you want to access the last element of the list, you can use the negative index. For example, if you want to access the last element of the list, you can use -1 as the index.

Lists can be used to store values like your your hobbies or your friends etc.

The values in a list can be of any datatype

Example of list:

tuple - Tuple

Tuple is similar to list datatype. The difference is that it is Immutable. It cannot be changed. It is defined by round brackets.

Example of tuple:

set - Set

Set is a data type used to store unique values. It is defined by curly brackets. It is similar to the sets in mathematics. You can use mathematical operations on it like union, intersection, difference, etc. These are unordered and unindexed.

Sets can be used to store unique values like roll numbers or email ids etc.

Example of set:

dict - Dictionary

dict is a data type used to store key-value pairs. It is defined by curly brackets.

syntx:

dict can be used to store structured data like details of students or details of employees etc.

Example of dict:

Additional Resources

Here are some additional videos for each of the data types:

Conclusion

Thank you for reading this article. I hope you find it helpful, and please share it with your friends.

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