Various types of data types in python

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🔢 Numeric Types

Used for storing numbers:

• int: Integer values, e.g., 42, -7
• float: Floating-point numbers (decimals), e.g., 3.14, -0.001
• complex: Complex numbers, e.g., 2 + 3j

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🔡 Text Type

Used for textual data:

• str: A sequence of characters, e.g., "hello world"

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📦 Sequence Types

Ordered collections:

• list: Mutable, ordered, e.g., [1, 2, 3]
• tuple: Immutable, ordered, e.g., (1, 2, 3)
• range: Represents a range of values, e.g., range(0, 10)

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🔑 Mapping Type

Used for key-value pairs:

• dict: e.g., {"name": "Ramesh", "age": 30}

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🧮 Set Types

Collections of unique elements:

• set: Unordered, mutable, no duplicates, e.g., {1, 2, 3}
• frozenset: Immutable version of a set

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✅ Boolean Type

• bool: Logical values True or False

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🪙 Binary Types

Used to handle binary data:

• bytes: Immutable sequence of bytes
• bytearray: Mutable version of bytes
• memoryview: Access internal data of objects without copying

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Want to explore examples of each, or dive deeper into when to use which type? I’d be happy to break it down even further.

Examples
🔢 Numeric Types

• int:pythonage = 30
• float:pythonpi = 3.14159
• complex:pythonz = 2 + 5j

🔡 Text Type

• str:pythongreeting = "Hello, Ramesh!"

📦 Sequence Types

• list:pythonfruits = ["apple", "banana", "cherry"]
• tuple:pythoncoordinates = (10.0, 20.0)
• range:pythonnumbers = range(1, 6) # 1 to 5

🔑 Mapping Type

• dict:pythonperson = {"name": "Ramesh", "city": "Hyderabad", "age": 30}

🧮 Set Types

• set:pythonunique_numbers = {1, 2, 3, 2} # duplicates ignored
• frozenset:pythonfrozen = frozenset(["python", "java", "python"])

✅ Boolean Type

• bool:pythonis_active = True

🪙 Binary Types

memoryview:pythonview = memoryview(b"example")

bytes:pythondata = b"hello"

bytearray:pythonmutable_data = bytearray([65, 66, 67])