Day 116 of Learning Java & DSA: Introduction to Heap Data Structure

1. 1Explore the definition and properties of a heap data structure
2. 2Build a heap using an array or a tree data structure
3. 3Run examples to understand heap operations such as insert, delete, and extract-min/max
4. 4Configure a heap to solve a real-world problem, such as priority queuing
5. 5Test the implementation of a heap data structure using test cases
6. 6Apply heap data structure to optimize algorithms like Heap Sort

Software engineers and data scientists on a team can benefit from understanding heap data structures to improve their coding skills and develop more efficient algorithms

💡 A heap is a specialized tree-based data structure that satisfies the heap property: the parent node is either greater than (max heap) or less than (min heap) its child nodes

💡 Learn heap data structure to improve coding skills & develop efficient algorithms