I am sharpening my data structure skills in Python with this repository. It provides practice code alongside essential concepts from the book "Data Structures and Algorithms" by Michael Goldwasser.
This repository accompanies the book "Data Structures and Algorithms in Python" by Michael Goldwasser, providing practice code and essential concepts to solidify your understanding of fundamental data structures and algorithms.
What you'll find:
Practice Code: Explore Python implementations of various data structures (stacks, queues, lists, trees, maps) and algorithms, aligned with the book's content. Learning by Doing: Solve exercises alongside the code, fostering a deeper understanding and practical application. Object-Oriented Approach: Gain insights into object-oriented design patterns for creating reusable and robust software. Learning Objectives:
By engaging with this repository, you'll strive to achieve the following:
• Grasp core data structure abstractions like stacks, queues, lists, trees, and maps. • Master efficient algorithms for implementing these data structures. • Analyze algorithmic performance theoretically and through experimentation, identifying trade-offs between approaches. • Leverage existing data structures and algorithms effectively within modern programming languages. • Gain hands-on experience with concrete implementations of essential data structures and algorithms. • Apply these concepts to tackle complex problems with confidence.
"Let's build your data structures and algorithms expertise in Python!"