Data Structures and Algorithms Essentials You Always Wanted to Know: Master Python, Recursion, Dynamic Programming, and Greedy Algorithms With Hands-On Examples (Self-Learning Management Series) - Hardcover
Book 53 of 73: Self-Learning Management Series
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.
"synopsis" may belong to another edition of this title.
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.
"About this title" may belong to another edition of this title.
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Hardcover. Condition: new. Hardcover. Learn how to write code that doesn't just work-but works smarterUnderstand the performance impact of data structures and algorithm choicesMaster essential patterns like recursion, dynamic programming, and greedy logicUse practical tools to solve real problems with efficient, scalable Python codeYou've mastered the basics of Python- now it's time to think bigger. It's time to write code that's not just correct, but smart, efficient, and built to scale. Data Structures and Algorithms Essentials You Always Wanted to Know helps you transition from Python basics to tackling complex problems with ease. It's your next step towards mastering the tools, patterns, and thinking needed to tackle real-world challenges-whether you're optimizing performance, preparing for interviews, or building smarter apps.From core concepts like Big O notation, lists, stacks, and queues, to advanced structures like linked lists, trees, and graphs, this book guides you through each topic with crystal-clear explanations and Python-based examples. You'll also explore powerful strategies such as recursion, greedy algorithms, and dynamic programming, learning not just how they work-but when and why to use them.This isn't a theory-heavy textbook. It's a practical guide, grounded in application. Each chapter includes hands-on coding tasks, quizzes, case studies, and real-world scenarios-like managing team rosters, analyzing social networks, or checking for palindromes-to help you apply what you learn in meaningful ways.You'll learn how to: Think algorithmically and communicate your ideas clearlyAnalyze and optimize code using Big O notationWrite recursive functions that are both readable and robustUse classic data structures and design patterns with confidence This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9781636516349
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Hardcover. Condition: new. Hardcover. Learn how to write code that doesn't just work-but works smarterUnderstand the performance impact of data structures and algorithm choicesMaster essential patterns like recursion, dynamic programming, and greedy logicUse practical tools to solve real problems with efficient, scalable Python codeYou've mastered the basics of Python- now it's time to think bigger. It's time to write code that's not just correct, but smart, efficient, and built to scale. Data Structures and Algorithms Essentials You Always Wanted to Know helps you transition from Python basics to tackling complex problems with ease. It's your next step towards mastering the tools, patterns, and thinking needed to tackle real-world challenges-whether you're optimizing performance, preparing for interviews, or building smarter apps.From core concepts like Big O notation, lists, stacks, and queues, to advanced structures like linked lists, trees, and graphs, this book guides you through each topic with crystal-clear explanations and Python-based examples. You'll also explore powerful strategies such as recursion, greedy algorithms, and dynamic programming, learning not just how they work-but when and why to use them.This isn't a theory-heavy textbook. It's a practical guide, grounded in application. Each chapter includes hands-on coding tasks, quizzes, case studies, and real-world scenarios-like managing team rosters, analyzing social networks, or checking for palindromes-to help you apply what you learn in meaningful ways.You'll learn how to: Think algorithmically and communicate your ideas clearlyAnalyze and optimize code using Big O notationWrite recursive functions that are both readable and robustUse classic data structures and design patterns with confidence This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Seller Inventory # 9781636516349
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