<commit_before>1. Dynamic Arrays -: 
	Using two approaches 
		i. reallocate and copy 
		ii. maintain multiple partitions of array and abstract it to a single object.
2. Stack - push pop
3. Queue - push pop 
4. Deque - push pop both side
5. LinkedList - add delete search get
6. DoublyLinkedList - add delete search get reverseTraversal
7. CircularLinkedList - add delete and run Circularly
8. CircularQueue - add delete run circularly
9. InsertionSort on LinkedList - Insert in a linked List
10. Heap (Max and Min Heap both) - Create Heap and search
11. BinarySearchTree with TDD 
12. HashMap basic implementation using generics (No focus on performance only focus was functionality) <commit_msg>Readme Updated<commit_after>1. Dynamic Arrays -: 
	Using two approaches 
		i. reallocate and copy 
		ii. maintain multiple partitions of array and abstract it to a single object.
2. Stack - push pop
3. Queue - push pop 
4. Deque - push pop both side
5. LinkedList - add delete search get
6. DoublyLinkedList - add delete search get reverseTraversal
7. CircularLinkedList - add delete and run Circularly
8. CircularQueue - add delete run circularly
9. InsertionSort on LinkedList - Insert in a linked List
10. Heap (Max and Min Heap both) - Create Heap and search
11. BinarySearchTree with TDD 
12. HashMap basic implementation using generics (No focus on performance only focus was functionality) 
13. Adjecency List Implemenatation with fresh linkedlist.
14. Adjecency matrix to Adjecency List Conversion with a fresh linkedlist.
15. Breadth First Search: Implemented with Adjecency list and LinkedList and LinkedList Based Queue.(eventually due to a confusion I also implemented stack.:smile:)
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