Algorithms
Production-focused algorithms, not interview prep. Why the sort your language ships actually wins, and where the textbook version breaks.
- Algorithms Ch.1: Big-O, Growth Curves, and Real-World Performance 20:42✓
- Algorithms Ch.2: Why Linked Lists Lose to Arrays in Real Code 8:51✓
- Algorithms Ch.3: How Hash Tables Make O(1) Lookup Real 8:40✓
- Algorithms Ch.4: Stacks, Queues, and Heaps in Real Code 8:31✓
- Ch.5: Why Recursion Blows Up: Call Stacks, Stack Overflow, and Memoization 9:33✓
- Ch.6: Why Timsort Beats Quicksort in Real Code 9:37✓
- Ch.7: Why O(log n) Turns a Billion Rows Into 30 Steps 13:23✓
- Ch.8: How Sorting Beats n log n 9:44✓
- Ch.9: Algorithms: Why Databases Use B-Trees 13:04✓
- Ch.11: Algorithms: Dijkstra vs A* Pathfinding 13:33✓
- Ch.12: Algorithms: Dynamic Programming in Real Code 13:25✓
- Ch.13: Algorithms: Why grep Is Fast 11:32✓
- Ch.14: Algorithms: Bloom Filters and the Cost of Maybe 12:38✓
- Ch.15: Algorithms: How gzip Compression Actually Works 9:35✓