Python Data Types

Data Types in Python

Numeric Types

• int: whole numbers, e.g. 1, 2, 3, etc.
• float: decimal numbers, e.g. 3.14, -0.5, etc.
• complex: complex numbers, e.g. 3+4j, 2-5j, etc.

Sequence Types

• str: strings, e.g. "hello", 'hello', etc. (immutable)
  • Can be indexed and sliced like lists
  • Supports string methods like upper(), lower(), etc.
• list: ordered collection of items, e.g. [1, 2, 3], ["a", "b", "c"], etc. (mutable)
  • Can be indexed and sliced
  • Supports list methods like append(), extend(), etc.
• tuple: ordered, immutable collection of items, e.g. (1, 2, 3), ("a", "b", "c"), etc.

Mapping Type

• dict: unordered collection of key-value pairs, e.g. {"name": "John", "age": 30}, etc. (mutable)
  • Can be indexed by key
  • Supports dictionary methods like keys(), values(), etc.

Set Types

• set: unordered collection of unique items, e.g. {1, 2, 3}, {"a", "b", "c"}, etc. (mutable)
  • Supports set methods like union(), intersection(), etc.
• frozenset: unordered, immutable collection of unique items, e.g. frozenset({1, 2, 3}), etc.

Boolean Type

• bool: true or false values

Binary Types

• bytes: sequence of integers in the range 0 <= x < 256, e.g. b"hello", etc.
• bytearray: mutable sequence of integers in the range 0 <= x < 256, e.g. bytearray(b"hello"), etc.

None Type

• NoneType: represents the absence of a value, e.g. None

Data Types in Python

Numeric Types

• There are three numeric types: int, float, and complex.
• int represents whole numbers, such as 1, 2, and 3.
• float represents decimal numbers, such as 3.14 and -0.5.
• complex represents complex numbers, such as 3+4j and 2-5j.

Sequence Types

• There are three sequence types: str, list, and tuple.
• str represents strings, such as "hello" and 'hello', which are immutable.
• str can be indexed and sliced like lists and supports string methods like upper() and lower().
• list represents ordered collections of items, such as [1, 2, 3] and ["a", "b", "c"], which are mutable.
• list can be indexed and sliced and supports list methods like append() and extend().
• tuple represents ordered, immutable collections of items, such as (1, 2, 3) and ("a", "b", "c").

Mapping Type

• dict represents unordered collections of key-value pairs, such as {"name": "John", "age": 30}, which are mutable.
• dict can be indexed by key and supports dictionary methods like keys() and values().

Set Types

• There are two set types: set and frozenset.
• set represents unordered collections of unique items, such as {1, 2, 3} and {"a", "b", "c"}, which are mutable.
• set supports set methods like union() and intersection().
• frozenset represents unordered, immutable collections of unique items, such as frozenset({1, 2, 3}).

Boolean Type

• bool represents true or false values.

Binary Types

• bytes represents sequences of integers in the range 0 <= x < 256.

This quiz covers the basics of data types in Python, including numeric types, sequence types, and more.