#Python for Beginners: All most common data types with examples.

Data Types in Python
- These examples illustrate the different data types in Python.

- Remember that you can assign values to variables using these data types, and Python automatically determines the appropriate data type based on the assigned value.

- Understanding and working with these data types will allow you to manipulate and store different kinds of information in your programs.

1 Numeric Types:
A. int: Represents integers (whole numbers) like 1, 2, -3, etc.

Example: age = 25
B. float: Represents numbers with decimal places like 3.14, 2.5, -0.75, etc.

Example: temperature = 98.6
C. complex: Represents complex numbers with real and imaginary parts.

Example: z = 2 + 3j
2 Text Type:
A. str: Represents strings of characters, enclosed in single quotes ('') or double quotes ("").

Example: name = "John"
3 Boolean Type:
A. bool: Represents boolean values, either True or False.

Example: is_raining = False
4 Sequence Types:
A. list: Represents an ordered collection of items, enclosed in square brackets ([]).

Example: numbers = [1, 2, 3, 4]
B. tuple: Represents an ordered, immutable (unchangeable) collection of items, enclosed in parentheses (()).

Example: coordinates = (10, 20)
C. range: Represents a sequence of numbers.

Example: numbers = range(1, 5) (produces the sequence 1, 2, 3, 4)
5 Mapping Type:
A. dict: Represents a collection of key-value pairs, enclosed in curly braces ({}) where each value is associated with a unique key.

Example: person = {"name": "John", "age": 25}
6 Set Types:
A. set: Represents an unordered collection of unique elements, enclosed in curly braces ({}).

Example: unique_numbers = {1, 2, 3}
7 None Type:
None: Represents the absence of a value or null.

Example: result = None