Visualized DSA Strategies
Episode 7 Sorting
▶ This video is coming to YouTube soon.
The complete guide to sorting for coding interviews, in Python. First the theory: what sorted and stable mean, what sorting unlocks, what every classic sort costs, why the fast ones are O(n log n), how list.sort and sorted work (Timsort: stable, and O(n) on data already in order), sorting anything with a key function and tuples instead of comparators, and five traps. Then nine techniques, each worked as a small problem in full: examples, the brute force animated beside the running line of code, the complete code, every line explained, and the better solution the same way.
What you'll learn
- Sorted and stable: what they mean and when stability matters
- Bubble, selection, insertion, merge, quick, heap and counting sort, and what each costs
- Why merge sort is O(n log n): log n levels of n work
- list.sort vs sorted, key functions and tuple keys, reverse=True, cmp_to_key, heapq.nsmallest and bisect.insort
- Insertion sort on nearly sorted input, and merge sort step by step
- Partition and quickselect for the k-th largest in O(n) on average
- Counting sort: O(n + k) with no comparisons
- Sort first: two pointers, neighbour checks, interval sweeps, sort-and-scan
- Counting inversions while merge sorting
Chapters
- 0:00Intro
- 0:22What sorting does
- 0:52Stable sorts
- 1:24What sorting unlocks
- 2:10What each sort costs
- 3:10Insertion sort: 28 comparisons
- 3:37Merge sort: 12 comparisons
- 4:01Why O(n log n)?
- 4:38Sorting in Python
- 6:10Five traps
- 7:09Nine sorting techniques
- 7:49Type 1 · Sort a nearly sorted array
- 13:42Type 2 · Sort an array in O(n log n)
- 20:40Type 3 · K-th largest number
- 27:11Type 4 · Sort small numbers
- 33:33Type 5 · Numbers two arrays share
- 39:44Type 6 · Smallest gap between two numbers
- 45:31Type 7 · Merge overlapping intervals
- 52:21Type 8 · H-index
- 58:01Type 9 · Count inversions
- 1:04:44Spot the technique
- 1:05:29Quiz: which technique?
- 1:06:17Recap
Quiz: test yourself
The 5 questions from the end of the episode. Pick an answer to see why it's right.