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IIT Madras BS in Data Science Program on Instagram: "Sorting algorithms are at the heart of computer science and data science, and when it comes to Quick Sort vs Merge Sort, each has its strengths Quick Sort: ✔️ In-place & memory efficient ✔️ Fast in average cases ✔️ Preferred in competitive programming Merge Sort: ✔️ Stable & predictable O(n log n) ✔️ Works great with linked lists and external data ✔️ Reliable when performance consistency matters If you had to choose one sorting algorithm for y
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dhruv on Instagram: "📚 Today’s topic: Algorithms From Brute Force to Dynamic Programming, Backtracking, Sliding Window, and even advanced Divide & Conquer optimizations like Merge Sort Tree & Persistent Segment Tree. Learning with Love Babbar @lovebabbar1 makes concepts crystal clear and fun to apply in coding questions. . . [algorithms, brute force, divide and conquer, greedy algorithms, dynamic programming, backtracking, sliding window, two pointer, merge sort tree, persistent segment tree, d
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Sorting algorithms are at the heart of computer science and data science, and when it comes to Quick Sort vs Merge Sort, each has its strengths Quick Sort: ✔️ In-place & memory efficient ✔️ Fast in average cases ✔️ Preferred in competitive programming Merge Sort: ✔️ Stable & predictable O(n log n) ✔️ Works great with linked lists and external data ✔️ Reliable when performance consistency matters If you had to choose one sorting algorithm for your next project, which one would it be—and why? | II
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