What Is Primitive Data Type and Non Primitive Data Type in Python?

When working with Python, it’s important to understand the concept of data types. In Python, data types can be broadly categorized into two categories: primitive and non-primitive data types.

Primitive Data Types:

The primitive data types in Python are the building blocks of any program. They are predefined by the language and are used to represent simple values. The four main primitive data types in Python are:

• Integers: Integers, represented by the int keyword, are used to store whole numbers without decimal points.
• Floats: Floats, represented by the float keyword, are used to store decimal numbers.
• Booleans: Booleans, represented by the bool keyword, can have two values: True or False. They are often used for conditional statements.
• Strings: Strings, represented by enclosing characters within single quotes (”) or double quotes (“”), are used to store sequences of characters.

Non-Primitive Data Types:

In contrast to primitive data types, non-primitive data types are not predefined in Python and require additional libraries or packages for their implementation. These data types can be customized based on specific requirements. Some commonly used non-primitive data types in Python include:

• List:
• A list is an ordered collection of elements enclosed within square brackets ([]).
• The elements within a list can be of different data types and can be modified (added, removed, or updated) during program execution.
• Tuple:
• A tuple is similar to a list but is enclosed within parentheses (()).
• The elements within a tuple can also be of different data types, but unlike lists, tuples are immutable (cannot be modified after creation).
• Dictionary:
• A dictionary is an unordered collection of key-value pairs enclosed within curly braces ({}).
• Each element in a dictionary consists of a key and its corresponding value.
• The keys within a dictionary must be unique, whereas the values can be of any data type.

Summary:

Understanding primitive and non-primitive data types in Python is essential for writing efficient and effective code. Primitive data types are predefined and include integers, floats, booleans, and strings.

Non-primitive data types are customizable and require additional libraries or packages for their implementation. Some commonly used non-primitive data types in Python include lists, tuples, and dictionaries.

By being aware of these data types and their properties, you can better handle different kinds of data in your Python programs.