Python offers several ways to sort data, and understanding these algorithms can help you choose the best one for your task. From built-in methods like sort() and sorted() to implementing your sorting algorithms like Bubble Sort, Merge Sort, and Quick Sort, Python’s flexibility shines through. This article will provide a high-level overview of various sorting techniques, explaining the logic behind them and when to use each based on data size and complexity. We will also discuss the efficiency of Python’s Timsort, which is used internally in sort() and sorted(), and how it balances the advantages of Merge Sort and Insertion Sort.