Complete Introduction to the 30 Most Essential Data Structures | Helpful Web Development

Complete Introduction to the 30 Most Essential Data Structures & Algorithms

Data Structures & Algorithms (DSA) is often considered to be an intimidating topic - a common misbelief. Forming the foundation of the most innovative concepts in tech, they are essential in both jobs/internships applicants' and experienced programmers' journey.

Data Structures:

- Arrays
- Linked Lists
- Stacks
- Queues
- Maps & Hash Tables
- Graphs
- Trees
- Binary Trees & Binary Search Trees
- Self-balancing Trees (AVL Trees, Red-Black Trees, Splay Trees)
- Heaps
- Tries
- Segment Trees
- Fenwick Trees
- Disjoint Set Union
- Minimum Spanning Trees

Algorithms:

- Divide and Conquer
- Sorting Algorithms (Bubble Sort, Counting Sort, Quick Sort, Merge Sort, Radix Sort)
- Searching Algorithms (Linear Search, Binary Search)
- Sieve of Eratosthenes
- Knuth-Morris-Pratt Algorithm
- Greedy I (Maximum number of non-overlapping intervals on an axis)
- Greedy II (Fractional Knapsack Problem)
- Dynamic Programming I (0–1 Knapsack Problem)
- Dynamic Programming II (Longest Common Subsequence)
- Dynamic Programming III (Longest Increasing Subsequence)
- Convex Hull
- Graph Traversals (Breadth-First Search, Depth-First Search)
- Floyd-Warshall / Roy-Floyd Algorithm
- Dijkstra's Algorithm & Bellman-Ford Algorithm
- Topological Sorting

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