Python Data Types

Data types in Python represent the type of data that can be stored and manipulated in a program. Python has several built-in data types, including:

• Integers (int)
• Floats (float)
• Strings (str)
• Lists (list)
• Tuples (tuple)
• Dictionaries (dict)
• Sets (set)
• Boolean (bool)
• NoneType (None)

1. Integers

An integer is a whole number, positive or negative, without decimals.

x = 5
y = -10
z = 0

2. Floats

A float is a floating-point number, representing real numbers with a decimal point.

x = 3.14
y = -0.5

3. Strings

A string is a sequence of characters, enclosed in single or double quotes.

name = "Alice"
message = 'Hello, World!'

4. Lists

A list is a collection of items, ordered and mutable. Lists are created using square brackets ([]).

numbers = [1, 2, 3, 4, 5]
fruits = ['apple', 'banana', 'orange']

5. Tuples

A tuple is a collection of items, ordered and immutable. Tuples are created using parentheses (()).

point = (10, 20)
colors = ('red', 'green', 'blue')

6. Dictionaries

A dictionary is a collection of key-value pairs, unordered and mutable. Dictionaries are created using curly braces ({}) with key-value pairs separated by commas (,).

person = {'name': 'Alice', 'age': 30, 'city': 'New York'}

7. Sets

A set is a collection of unique items, unordered and mutable. Sets are created using curly braces ({}).

numbers = {1, 2, 3, 4, 5}
letters = {'a', 'b', 'c', 'd'}

8. Boolean

Boolean represents the truth values True and False.

is_active = True
is_valid = False

9. NoneType

NoneType represents the absence of a value or a null value.

result = None

Conclusion

Python has a rich set of built-in data types that allow you to represent and manipulate different types of data in your programs. Understanding these data types is essential for writing Python programs effectively.