python_variables_types.md

Here is a comprehensive list of Python data types along with examples for each:

1. Numeric Types

• int (Integer): Whole numbers
  • Example: x = 10
• float (Floating Point): Numbers with decimal points
  • Example: y = 3.14
• complex (Complex Numbers): Numbers with real and imaginary parts
  • Example: z = 2 + 3j

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2. Sequence Types

• list: Ordered, mutable collection
  • Example: fruits = ["apple", "banana", "cherry"]
• tuple: Ordered, immutable collection
  • Example: coordinates = (4, 5, 6)
• range: Sequence of numbers
  • Example: numbers = range(5) (produces 0, 1, 2, 3, 4)

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3. Text Type

• str (String): Sequence of characters
  • Example: greeting = "Hello, World!"

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4. Set Types

• set: Unordered, mutable collection of unique items
  • Example: unique_numbers = {1, 2, 3, 3} (results in {1, 2, 3})
• frozenset: Unordered, immutable collection of unique items
  • Example: frozen_set = frozenset([1, 2, 3, 3]) (results in frozenset({1, 2, 3}))

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5. Mapping Type

• dict (Dictionary): Collection of key-value pairs
  • Example: person = {"name": "Alice", "age": 25}

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6. Boolean Type

• bool: Represents True or False
  • Example: is_active = True

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7. Binary Types

• bytes: Immutable sequence of bytes
  • Example: b = b"hello"
• bytearray: Mutable sequence of bytes
  • Example: ba = bytearray(b"hello")
• memoryview: Memory view object
  • Example: mv = memoryview(b"hello")

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8. None Type

• NoneType: Represents a null value
  • Example: x = None

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Additional Examples

• Type Conversion: Python provides functions like int(), float(), str(), etc., to convert between types.
  • Example: x = int("10") converts the string "10" to an integer.