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1
Data structures introduction
2
Abstract data types
3
Introduction to Big-O
4
Dynamic and Static Arrays
5
Dynamic Array Code
6
Linked Lists Introduction
7
Doubly Linked List Code
8
Stack Introduction
9
Stack Implementation
10
Stack Code
11
Queue Introduction
12
Queue Implementation
13
Queue Code
14
Priority Queue Introduction
15
Priority Queue Min Heaps and Max Heaps
16
Priority Queue Inserting Elements
17
Priority Queue Removing Elements
18
Priority Queue Code
19
Union Find Introduction
20
Union Find Kruskal's Algorithm
21
Union Find - Union and Find Operations
22
Union Find Path Compression
23
Union Find Code
24
Binary Search Tree Introduction
25
Binary Search Tree Insertion
26
Binary Search Tree Removal
27
Binary Search Tree Traversals
28
Binary Search Tree Code
29
Hash table hash function
30
Hash table separate chaining
31
Hash table separate chaining source code
32
Hash table open addressing
33
Hash table linear probing
34
Hash table quadratic probing
35
Hash table double hashing
36
Hash table open addressing removing
37
Hash table open addressing code
38
Fenwick Tree range queries
39
Fenwick Tree point updates
40
Fenwick Tree construction
41
Fenwick tree source code
42
Suffix array introduction
43
Longest Common Prefix (LCP) array
44
Suffix array finding unique substrings
45
Longest common substring problem suffix array
46
Longest common substring problem suffix array part 2
47
Longest Repeated Substring suffix array
48
Balanced binary search tree rotations
49
AVL tree insertion
50
AVL tree removals
51
AVL tree source code
52
Indexed Priority Queue (UPDATED) | Data Structures
53
Indexed Priority Queue | Data Structure | Source Code
54
Sparse Table Data Structure
55
Sparse Table Data Structure | Source Code
Description:
Explore a comprehensive playlist covering essential data structures in computer science. Learn about abstract data types, Big-O notation, arrays, linked lists, stacks, queues, priority queues, union-find, binary search trees, hash tables, Fenwick trees, suffix arrays, AVL trees, indexed priority queues, and sparse tables. Dive into implementation details, algorithms, and coding examples for each data structure, gaining a solid foundation in their concepts, operations, and practical applications.

Data Structures Playlist

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