- Class and Array
- Linked List
- Stack
- Queue
- Doubly Linked List
- Graph
- Hash Table
- Recursion
- Tree
- Heap
- Search
This repository is a comprehensive collection of Data Structures and Algorithms concepts. It serves as a resource for learning, practicing, and mastering core topics that are fundamental to programming and problem-solving.
- Data Structures: Implementations and explanations of various data structures such as arrays, linked lists, stacks, queues, trees, graphs, heaps, and more.
- Algorithms: Key algorithms organized by category, including sorting, searching, dynamic programming, greedy algorithms, and graph traversal techniques.
- Complexity Analysis: Each implementation includes time and space complexity for a better understanding of efficiency.
- Build a solid foundation in data structures and algorithms.
- Serve as a reference for coding interviews and technical assessments.
- Provide hands-on practice and insights for each data structure and algorithm.