Learn Python Data Types

---

Python has various data types to store different kinds of data. Understanding these data types is fundamental to programming in Python. Here’s an overview of the most commonly used data types in Python.

1. Numeric Types

Numeric types store numbers. Python supports integers, floating-point numbers, and complex numbers.

• int: Integer, a whole number without a decimal point.
• float: Floating-point number, a number with a decimal point.
• complex: Complex number, a number with a real and an imaginary part.

Example-
x = 5
y = 3.14
z = 1 + 2j
print(type(x))
print(type(y))
print(type(z))

2. Sequence Types

Sequence types store multiple items in an ordered manner. The three main sequence types are strings, lists, and tuples.

• str: String, a sequence of characters.
• list: List, a collection of items that is ordered and changeable.
• tuple: Tuple, a collection of items that is ordered and unchangeable.

Examples:

Example-
string = "Hello, World!"
my_list = [1, 2, 3, 4, 5]
my_tuple = (1, 2, 3, 4, 5)
print(type(string))
print(type(my_list))
print(type(my_tuple))

3. Mapping Type

Mapping types store data in key-value pairs. The primary mapping type in Python is the dictionary.

• dict: Dictionary, a collection of key-value pairs that is unordered, changeable, and indexed.

Examples:

Example-
my_dict = {"name": "Alice", "age": 25, "city": "New York"}

print(type(my_dict))
print(my_dict)