Numeric Types:

Data Types: int, float, str, bool

  • bool class in Python handles truth values. There are only two possible bool values: True and False. These are written directly as literals, representing the fundamental concepts of truth and falsehood.
  • int class is used for whole numbers, and unlike some languages, it can handle integers of any size.
  • float class to represent decimal numbers. This class uses a fixed-precision mechanism, meaning there’s a limit to the precision of the numbers it can store.

Numeric Types

1# int: Represents whole numbers
2my_integer = 25
3
4# float: Represents numbers with decimal points
5my_float = 3.14
6
7# complex: Represents complex numbers with real and imaginary parts
8my_complex = 2 + 5i

Containers for Your Collections:

Sequence Types

1# str: Represents a sequence of characters (text)
2my_string = "Hello, world!"

list: Like a grocery list, store items in order.

1# list: An ordered, mutable (changeable) collection 
2my_list = [1, "apple", 3.14]

tuple: Like a package deal, items are fixed once set.

1# tuple: An ordered, immutable (unchangeable) collection
2my_tuple = (10, 20, "hello")

dict: Stores data with labels (keys) for easy lookup.

1# Mapping Type
2# dict: Stores data in key-value pairs
3my_dictionary = {"name": "Alice", "age": 30, "city": "New York"}

set: Think of a bag of marbles – each one unique.

1# Set Type
2# set: An unordered collection of unique elements
3my_set = {1, 2, 3, 1, 2}

Notes:

  • Built-in classes are your ready-made tools for common data types.
  • Each class comes with built-in methods that make working with your data efficient and intuitive.

Read: Python Expressions, Operators, and Sequences