Sorting in Python

Short summary

Python offers list.sort() and sorted() for organizing data, both leveraging Timsort—a hybrid algorithm achieving O(n log n) average performance. The guide explores custom sorting via key and reverse parameters, stable sort guarantees for multi-field sorting, and specialized libraries (sortedcontainers, heapq, bisect, multiprocessing) for advanced scenarios like priority queues and memory-efficient external sorting.

• •Python's built-in sort() and sorted() use Timsort for efficient O(n log n) average performance with stable sort guarantees
• •Key and reverse parameters enable custom sorting logic; stable sorting preserves order of equal elements for multi-field scenarios
• •Advanced libraries (sortedcontainers, heapq, bisect) and multiprocessing handle specialized needs like priority queues and parallel processing

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