Data Structures & Algorithms in Python. John Canning, Alan Broder, Robert Lafore

Data Structures & Algorithms in Python by John Canning, Alan Broder, and Robert Lafore is a comprehensive guide designed to help programmers understand and implement essential data structures and algorithms using Python.

What You’ll Learn

This book provides a hands-on approach to mastering fundamental and advanced data structures, including:

• Arrays, Linked Lists, Stacks, and Queues – Understand their structures, use cases, and performance trade-offs.
• Recursion and Sorting Algorithms – Master efficient techniques like quicksort, mergesort, and heapsort.
• Trees and Graphs – Learn how to build and traverse binary trees, balanced trees, and graph-based structures.
• Hashing and Hash Tables – Implement effective key-value storage solutions.
• Algorithmic Complexity and Optimization – Analyze Big-O notation and improve code efficiency.

Why This Book?

• Uses Python as the primary language, making concepts accessible and practical.
• Features detailed explanations and real-world examples to reinforce learning.
• Includes hands-on coding exercises to help solidify understanding.
• Covers interview-ready algorithms, making it a great resource for coding interviews.

Whether you’re a beginner looking to build a solid foundation or an experienced developer seeking to refine your algorithmic thinking, this book provides the knowledge and tools to excel in data structures and algorithm design with Python.