Python has a number of built-in data types that are used to represent different kinds of values

Python has a number of built-in data types that are used to represent different kinds of values. Here's a breakdown of the basic data types, along with their typical range of values:

Numeric Types:

• int: Integers (whole numbers)

  • Range: Virtually unlimited, limited by available memory.
  • Example: 10, -5, 0

• float: Floating-point numbers (numbers with decimal points)

  • Range: -3.4028235e+38 to 3.4028235e+38 (approximately)
  • Example: 3.14, -2.5, 0.0

• complex: Complex numbers (numbers with real and imaginary parts)

  • Range: Real and imaginary parts are floats.
  • Example: 2 + 3j, -1.5 - 2j

Text Type:

• str: Strings (sequences of characters)
  • Range: Can hold any Unicode character.
  • Example: "Hello", 'Python', "123"

Boolean Type:

• bool: Boolean values (represent truth or falsehood)
  • Values: True or False

Sequence Types:

• list: Ordered, mutable (changeable) collections of items

  • Range: Can hold any number of items of any data type.
  • Example: [1, 2, 3], ["apple", "banana"], [1, "hello", 3.14]

• tuple: Ordered, immutable (unchangeable) collections of items

  • Range: Can hold any number of items of any data type.
  • Example: (1, 2, 3), ("apple", "banana"), (1, "hello", 3.14)

• range: Represents a sequence of numbers

  • Range: Determined by the arguments passed to the range() function.
  • Example: range(1, 5) (represents numbers 1, 2, 3, 4)

Mapping Type:

• dict: Dictionaries (store key-value pairs)
  • Range: Can hold any number of key-value pairs. Keys must be immutable types (like strings, numbers, or tuples).
  • Example: {"name": "John", "age": 30}, {1: "one", 2: "two"}

Set Types:

• set: Unordered collections of unique items

  • Range: Can hold any number of items of any hashable data type.
  • Example: {1, 2, 3}, {"apple", "banana"}

• frozenset: Immutable version of a set

Binary Types:

• bytes: Sequences of bytes (integers from 0 to 255)

  • Example: b"hello"

• bytearray: Mutable version of bytes

• memoryview: Allows access to the internal data of an object without copying

Important Notes:

• Python is dynamically typed, meaning you don't need to explicitly declare the data type of a variable. Python infers the type based on the value assigned to it.
• You can use the type() function to determine the data type of a variable.
• Python provides functions for converting between different data types (e.g., int(), float(), str()).