Master essential data structures and algorithms: linked lists, stacks, queues, graphs, trees, heaps, and hashing.

Computer Science Bootcamp

Data structures are used to store and manipulate data efficiently. Learning data structures is essential as it enables us to design optimal algorithms and enhances problem-solving capabilities. This module covers the essential data structures and algorithms. We’ll start by understanding commonly used data structures like linked lists, stacks, queues, graphs, trees, heaps, and hashing. Then, we’ll explore various operations and challenges, from insertion and deletion to searching and traversal. By the end of this module, we’ll be equipped to solve complex problems, improve code efficiency, and enhance our career prospects in the ever-growing tech industry.

Data Structures in Python

## Implementation

Now that we have discussed all the functions of a Min-Heap, we've implemented them in the following code executable. Run and test the code on multiple outputs to see if it returns the elements in the correct order every time? Try it!

# Implementation

Now that we have discussed all the functions of a Min-Heap, we've implemented them in the following code executable. Run and test the code on multiple outputs to see if it returns the elements in the correct order every time? Try it!

We'll implement a min heap in this lesson!

Introduction to Linked Lists

Introduction to Stacks and Queues

Introduction to Graphs

Introduction to Trees

Introduction to Heap

Introduction to Hashing

Summary of Data Structures

Conclusion

Min Heap (Implementation)

Implementation #