In Python, there are several built-in data structures that can be used to store and manipulate data, including:
- Lists: An ordered collection of elements, which can be of different data types, including other lists. Lists are mutable, which means that elements can be added, removed, or changed.
- Tuples: An ordered, immutable collection of elements, which can be of different data types, including other tuples. Once created, the elements in a tuple cannot be modified.
- Dictionaries: An unordered collection of key-value pairs, where each key maps to a value. Dictionaries are mutable and have no order.
- Sets: An unordered collection of unique elements. Sets are mutable, and elements in sets can be added, removed, or modified.
- Strings: A sequence of characters that are used to represent text. Strings are immutable, which means that once created, the elements in a string cannot be modified.
- Arrays: An ordered collection of elements of the same data type. Arrays are available in the “array” module in Python.
- Queues: A collection of elements where the first element to be added is the first to be removed (first-in-first-out). Queues are available in the “queue” module in Python.
- Stacks: A collection of elements where the last element to be added is the first to be removed (last-in-first-out). Stacks are available in the “queue” module in Python.