Data Structures and Algorithms Essentials You Always Wanted to Know | Master Python, Recursion, Dynamic Programming, and Greedy Algorithms With Hands-On Examples

Shawn Peters (u. a.)

ISBN 10: 1636516327 / ISBN 13: 9781636516325

Published by Vibrant Publishers, 2025

About this Item

Data Structures and Algorithms Essentials You Always Wanted to Know | Master Python, Recursion, Dynamic Programming, and Greedy Algorithms With Hands-On Examples | Shawn Peters (u. a.) | Taschenbuch | Englisch | 2025 | Vibrant Publishers | EAN 9781636516325 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.

Seller Inventory # 134408313

Bibliographic Details

• Title: Data Structures and Algorithms Essentials You Always Wanted to Know | Master Python, Recursion, Dynamic Programming, and Greedy Algorithms With Hands-On Examples
• Publisher: Vibrant Publishers
• Publication Date: 2025
• Language: English
• ISBN 10: 1636516327
• ISBN 13: 9781636516325
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 216W x 140H x 19D millimeters 216 millimeters width by 140 millimeters height by 19 millimeters depth
• Weight: 434 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

Master Python, Recursion, Dynamic Programming, and Greedy Algorithms With Hands-On Examples. Learn the core data structures and algorithms for optimized Python coding.

Master Data Structures and Algorithms with Python – From Foundations to Real-World Applications

Are you ready to take your Python coding to the next level? Data Structures and Algorithms Essentials You Always Wanted to Know is a practical, hands-on guide for self-taught programmers and junior developers who want to write smarter, faster, and more efficient code. Instead of drowning you in theory, Shawn Peters—an educator with nearly 20 years of experience—makes complex topics simple through clear explanations and real-world examples.

From arrays, stacks, and queues to advanced structures like trees and graphs, this book helps you bridge the gap between simply knowing Python syntax and truly mastering the logic behind scalable, efficient applications. Key concepts such as dynamic programming, recursion, and graph algorithms are explained in a straightforward manner, with exercises to help reinforce your understanding.

Inside, you’ll discover how to:

• Analyze code performance with Big O, Omega, and Theta notations
• Write clean, reliable recursive functions for complex problems
• Master arrays, linked lists, trees, graphs, and hash tables
• Apply dynamic programming and greedy algorithms to real-world coding challenges

By the end, you’ll not only understand the fundamentals of data structures and algorithms with Python—you’ll also know how to apply them to real-world projects, optimize your code, and build solutions that scale.

Whether your goal is to solidify your foundation in data structures, prepare for technical interviews, or understand how to solve problems with Python algorithms, this book guides you every step of the way.

Take your programming skills to the next level and become a confident, capable problem-solver.

About the Authors

Shawn Peters, with a B.Sc. in Physics and Mathematics, is an educator with nearly 20 years of teaching experience. He is a certified Python Programming teacher, and also specializes in Java, JavaScript, and p5.js. Peters combines his expertise in education with his passion for coding to create a learning experience that is both practical and engaging.

Vibrant Publishers is focused on presenting the best texts for learning about technology and business as well as books for test preparation. Categories include programming, operating systems and other texts focused on IT. In addition, a series of books helps professionals in their own disciplines learn the business skills needed in their professional growth.

Vibrant Publishers has a standardized test preparation series covering the GMAT, GRE and SAT, providing ample study and practice material in a simple and well organized format, helping students get closer to their dream universities.