Recursion explained in 90 seconds
Permutations: swap, recurse, swap back, n! leaves
Rules: base case first, make progress, trust the sub-call. Time = nodes in the recursion tree. Space = its height.
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Bit manipulation
✨ XOR cancels pairs, so odd-one-out is O(n) time and O(1) space
🌳 A counter from 0 to 2^n - 1 gives you every subset
Best trick: n & (n - 1) clears the lowest set bit.
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Trees vs Heaps in 90 seconds, Tree: a hierarchy. A BST finds values in O(log n).
Heap: the biggest or smallest item is always on top. Peek is O(1); insert and extract are O(log n).
Trees organize. Heaps.
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Stack vs Queue in 90 seconds ⏱️
📚 Stack: Last In, First Out (LIFO). Think undo and the browser back button.
🚶 Queue: First In, First Out (FIFO). Think print jobs and waiting lines.
Two ideas, endless uses in software.
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What makes a Circular Linked List different from a normal linked list? 💡Hint: The last node doesn't point to NULL! Learn about traversal, insertion, deletion & time complexity in our latest video.
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A linked list is a train 🚂
Each coach knows only the next one, so inserting at the head is O(1). No shifting like arrays.
60-second visual guide: nodes, insert, traverse, delete 🔗
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