Master fundamental data structures and algorithms from complexity analysis through dynamic programming, with hands-on Python exercises.
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Understand Big-O notation, time and space complexity analysis, and learn to benchmark and optimize algorithm performance.
Master array and string manipulation techniques including prefix sums, Kadane's algorithm, and the KMP string matching algorithm.
Master singly and doubly linked lists, core operations, and classic interview problems involving pointer manipulation.
Understand stack and queue data structures, implement them from scratch, and solve classic problems using these fundamental tools.
Build binary search trees, master tree traversals, understand AVL self-balancing, and solve classic tree interview problems.
Learn graph representations, implement BFS and DFS traversals, and solve shortest path problems with Dijkstra's algorithm.
Implement and compare classic sorting algorithms: bubble sort, selection sort, merge sort, and quicksort.
Master dynamic programming through memoization, tabulation, and classic problems like knapsack, longest common subsequence, and coin change.