What are Python’s data structures

Python offers a wide range of built-in data structures that allow you to store and manage data efficiently. Here are some of the most commonly used data structures in Python:

  • Lists: An ordered collection that can hold a variety of item types.
  • Tuples: Like lists but immutable (cannot be changed after creation).
  • Sets: Unordered collections of unique items.
  • Dictionaries: Collections of key-value pairs, allowing for fast retrieval based on keys.

These data structures are fundamental to Python programming and are used in various applications, from simple scripts to complex systems.


Python data structures Lists Tuples Sets Dictionaries

Related Questions

How do I avoid rehashing overhead with std::set in multithreaded code?

How do I find elements with custom comparators with std::set for embedded targets?

How do I erase elements while iterating with std::set for embedded targets?

How do I provide stable iteration order with std::unordered_map for large datasets?

How do I reserve capacity ahead of time with std::unordered_map for large datasets?

How do I erase elements while iterating with std::unordered_map in multithreaded code?

How do I provide stable iteration order with std::map for embedded targets?

How do I provide stable iteration order with std::map in multithreaded code?

How do I avoid rehashing overhead with std::map in performance-sensitive code?

How do I merge two containers efficiently with std::map for embedded targets?