Master Python Data Types with 100 Real-Time Scenarios – Download Now!

Master Python Data Types with 100 Real-Time Scenarios – Download Now!

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Learn Python data types through 100 practical scenarios designed for real-world applications. Start mastering Python today!

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1. Python Data Types

Python provides several built-in data types, which are categorized into mutable and immutable types. Understanding these data types is essential for effective Python programming. Here are the main Python data types:

Immutable Data Types (Cannot be changed after creation):

  • int: Represents integers, e.g., 5, 100, -3.
  • float: Represents floating-point numbers (decimals), e.g., 3.14, -0.001, 2.0.
  • str: Represents strings (sequences of characters), e.g., "Hello", "Python".
  • tuple: An ordered collection of elements that cannot be changed, e.g., (1, 2, 3), ('a', 'b', 'c').
  • frozenset: An immutable version of a set, e.g., frozenset([1, 2, 3]).

Mutable Data Types (Can be changed after creation):

  • list: An ordered collection of items that can be changed, e.g., [1, 2, 3], ['a', 'b', 'c'].
  • dict: Represents a collection of key-value pairs, e.g., {'name': 'John', 'age': 25}.
  • set: An unordered collection of unique elements, e.g., {1, 2, 3}, {'apple', 'banana'}.
  • bytearray: A mutable sequence of bytes, e.g., bytearray([65, 66, 67]).