Python Built-in Data Types
Python provides several built-in data types that are fundamental to the language and used extensively in programming. These data types include:
1. Integers (int): Integers represent whole numbers without fractional parts. They can be positive, negative, or zero and have unlimited precision in Python 3.
2. Floating-point numbers (float): Floating-point numbers represent real numbers with decimal points. They are used to represent fractional and decimal values.
3. Complex numbers (complex): Complex numbers consist of a real part and an imaginary part expressed as a real number followed by 'j' (e.g., 3 + 4j).
4. Strings (str): Strings are sequences of characters enclosed in single () or double (“”) quotes. They are used to represent text data and support various string manipulation operations.
5. Lists: Lists are ordered collections of items enclosed in square brackets ([]). They can contain elements of different data types and support dynamic resizing, indexing, slicing, and list comprehension.
6. Tuples: Tuples are ordered collections of items enclosed in parentheses 1). Unlike lists, tuples are immutable, meaning their elements cannot be modified after creation.
7. Dictionaries (dict): Dictionaries are unordered collections of key-value pairs enclosed in curly braces ({key: value}). They are used to store and retrieve data based on unique keys rather than numerical indices.
8. Sets: Sets are unordered collections of unique elements enclosed in curly braces ({}) or created using the set() function. They support set operations such as union, intersection, and difference.
These built-in data types form the foundation of Python programming and are used to represent and manipulate data in various applications. Python also provides additional data types through modules and libraries for specialized tasks. s://docs.python.org/3/library/stdtypes.html