Practical Guide to Data Structures and Algorithms in Python (Paperback)

Thompson Carter

ISBN 13: 9798345559284

Published by Independently Published, 2024

About this Item

Paperback. Unlock the power of Python with Practical Guide to Data Structures and Algorithms in Python. Written by expert Thompson Carter, this guide is designed to enhance your understanding and mastery of data structures and algorithms essential for developing efficient, scalable software. From foundational concepts like Big O notation to advanced techniques such as dynamic programming and greedy algorithms, this guide offers practical coding exercises, real-world examples, and step-by-step solutions tailored for beginners and professionals alike.This comprehensive book covers an array of data structures, including arrays, stacks, queues, linked lists, hash tables, trees, graphs, and advanced structures like tries and segment trees. It also delves into sorting and searching algorithms, offering a robust foundation for problem-solving and coding interview success. With clear explanations and detailed Python code examples, you'll gain the skills needed to tackle real-world programming challenges and build optimized software applications. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Seller Inventory # 9798345559284

Bibliographic Details

• Title: Practical Guide to Data Structures and Algorithms in Python (Paperback)
• Publisher: Independently Published
• Publication Date: 2024
• Language: English
• ISBN 13: 9798345559284
• Binding: Paperback
• Condition: new

About this title

Synopsis

Unlock the power of Python with Practical Guide to Data Structures and Algorithms in Python. Written by expert Thompson Carter, this guide is designed to enhance your understanding and mastery of data structures and algorithms essential for developing efficient, scalable software. From foundational concepts like Big O notation to advanced techniques such as dynamic programming and greedy algorithms, this guide offers practical coding exercises, real-world examples, and step-by-step solutions tailored for beginners and professionals alike.

This comprehensive book covers an array of data structures, including arrays, stacks, queues, linked lists, hash tables, trees, graphs, and advanced structures like tries and segment trees. It also delves into sorting and searching algorithms, offering a robust foundation for problem-solving and coding interview success. With clear explanations and detailed Python code examples, you'll gain the skills needed to tackle real-world programming challenges and build optimized software applications.