Name: Data Structures and Algorithms Essentials You Always Wanted to Know: Master Python, Recursion, Dynamic Programming, and Greedy Algorithms With Hands-O (en Inglés)
Price: 55.56 USD
Availability: InStock
Author: Peters, Shawn; Publishers, Vibrant
ISBN: 9781636516325

portada Data Structures and Algorithms Essentials You Always Wanted to Know: Master Python, Recursion, Dynamic Programming, and Greedy Algorithms With Hands-O (en Inglés)

Data Structures and Algorithms Essentials You Always Wanted to Know: Master Python, Recursion, Dynamic Programming, and Greedy Algorithms With Hands-O (en Inglés)

Formato

Libro Físico

Editorial

Vibrant Publishers

Autor

Peters, Shawn; Publishers, Vibrant

Idioma

Inglés

N° páginas

344

Encuadernación

Tapa Blanda

Dimensiones

21.6 x 14.0 x 1.8 cm

ISBN13

9781636516325

Data Structures and Algorithms Essentials You Always Wanted to Know: Master Python, Recursion, Dynamic Programming, and Greedy Algorithms With Hands-O (en Inglés)

Peters, Shawn; Publishers, Vibrant (Autor) · Vibrant Publishers · Tapa Blanda

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Reseña del libro "Data Structures and Algorithms Essentials You Always Wanted to Know: Master Python, Recursion, Dynamic Programming, and Greedy Algorithms With Hands-O (en Inglés)"

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