Python: How to use Python data types? | Python Full Course | Python for beginners | Python Tutorial

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In Python, data types refer to the categorization of data into different classes or categories, based on their nature and the operations that can be performed on them. Here's a brief explanation of some commonly used data types in Python:

1. Numeric types: Numeric data types in Python include integers (int), floating-point numbers (float), and complex numbers (complex). Integers represent whole numbers, floats represent decimal numbers, and complex numbers consist of a real and imaginary part.

2. Strings: Strings (str) represent sequences of characters enclosed in single quotes (' ') or double quotes (" "). They are used to store and manipulate text data.

3. Boolean: Boolean (bool) data type represents two possible values: True or False. Booleans are used for logical operations and comparisons.

4. Lists: Lists (list) are ordered collections of items enclosed in square brackets ([ ]). They can contain elements of different data types and can be modified (mutable).

5. Tuples: Tuples (tuple) are similar to lists but are enclosed in parentheses ( ) instead of square brackets. Tuples are immutable, meaning their elements cannot be modified once created.

6. Dictionaries: Dictionaries (dict) store data in key-value pairs. They are enclosed in curly braces ({ }) and allow you to access values based on their corresponding keys. Dictionaries are useful for mapping and storing structured data.

7. Sets: Sets (set) are unordered collections of unique elements. They are enclosed in curly braces ({ }) or can be created using the set() function. Sets are useful for performing mathematical operations like union, intersection, etc.

8. None: The None type represents the absence of a value. It is often used as a placeholder or to indicate the absence of a meaningful result.

Python is a dynamically-typed language, meaning you don't need to explicitly declare the data type of a variable. The interpreter infers the data type based on the value assigned to the variable.

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