Python Data Types

Python data types

Created By: chatGPT

Python, like many programming languages, has a variety of built-in data types that you can use to store different kinds of information. Understanding these data types is fundamental for writing effective Python code.

Numeric Types: Python has several numeric types: int for integers, float for floating-point numbers, and complex for complex numbers that consist of a real and an imaginary part.

num_int = 10
num_float = 10.5
num_complex = 3 + 5j

Sequence Types: Python provides several sequence types such as lists, tuples, and strings. Lists and tuples are ordered collections of items, while strings are sequences of characters.

a_list = [1, 2, 3, 'four']
a_tuple = (1, 2, 3)
a_string = 'Hello, World!'

Mapping Types: The most common mapping type in Python is the dictionary. Dictionaries allow you to store key-value pairs, enabling fast lookups of values based on their keys.

a_dict = {'name': 'Alice', 'age': 25, 'city': 'New York'}

Set Types: Sets are collections of unique items and are useful for membership testing. They are unordered and do not support indexing or slicing.

a_set = {1, 2, 3, 4, 5}

Boolean Type: The boolean type can have one of two values: True or False. It is often used for conditional statements and Boolean comparisons.

is_python_fun = True
is_sky_blue = False

None Type: The NoneType is a special type that is used to signify 'nothing' or 'no value'. It is commonly returned by functions that do not explicitly return a value.

def no_return_func():
    pass
result = no_return_func()

By grasping these fundamental data types, you can begin to manipulate and manage data in Python effectively. Each data type serves a specific purpose and understanding them will enhance your programming skills.