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

Here’s a quick summary of what we learned from the “Data Structures in Python” module.

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

Final Remarks

Summary