algorithms

Deep dive into URL shortening algorithms. Implement Base62 encoding, handle collisions at scale, support custom aliases, and understand the math behind short code uniqueness and collision probability.

Master dynamic programming and greedy algorithms for coding interviews. Learn memoization, tabulation, the 5-step DP framework, and solve classic problems like knapsack, coin change, LCS, and LIS with TypeScript and Python examples.

Master heaps and priority queues for coding interviews. Learn min/max heaps, heap operations, heap sort, and solve classic problems like top-K elements, merge K sorted lists, and median finding with TypeScript and Python examples.

Master graph data structures and algorithms for coding interviews. Learn BFS, DFS, cycle detection, topological sort, Dijkstra's shortest path, Union-Find, and solve classic problems with TypeScript and Python examples.

Master sorting algorithms and binary search techniques for coding interviews. Learn Bubble Sort, Merge Sort, Quick Sort, binary search patterns, and solve classic problems with TypeScript and Python examples.

Master trees and binary search trees in data structures and algorithms. Learn tree traversals, BST operations, balanced trees, and solve classic interview problems with examples in TypeScript and Python.

Master stacks and queues in data structures and algorithms. Learn LIFO and FIFO principles, array and linked list implementations, and solve classic interview problems with examples in TypeScript and Python.

Master linked lists in data structures and algorithms. Learn singly, doubly, and circular linked lists, pointer manipulation, fast & slow pointers, and solve classic interview problems with examples in TypeScript and Python.

Master arrays and strings in data structures and algorithms. Learn array operations, time complexity analysis, two pointers, sliding window, and solve common interview problems with examples in TypeScript and Python.

Master essential coding problem-solving patterns: Two Pointers, Sliding Window, Hash Maps, Prefix Sum, Divide and Conquer, and more. Learn a systematic framework for tackling any coding challenge with examples in TypeScript and Python.