Idioma: Inglés
Publicado por Vibrant Publishers 12/23/2025, 2025
ISBN 10: 1636516327 ISBN 13: 9781636516325
Librería: BargainBookStores, Grand Rapids, MI, Estados Unidos de America
EUR 44,42
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Añadir al carritoPaperback or Softback. Condición: New. Data Structures and Algorithms Essentials You Always Wanted to Know: Master Python, Recursion, Dynamic Programming, and Greedy Algorithms With Hands-O. Book.
Librería: Books Puddle, New York, NY, Estados Unidos de America
EUR 58,49
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Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de America
EUR 50,29
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Añadir al carritoPaperback. Condición: new. Paperback. 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.
Librería: Majestic Books, Hounslow, Reino Unido
EUR 53,20
Cantidad disponible: 4 disponibles
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Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de America
EUR 62,12
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Añadir al carritoHardcover. Condición: 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.
Librería: Majestic Books, Hounslow, Reino Unido
EUR 56,50
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Librería: Biblios, Frankfurt am main, HESSE, Alemania
EUR 53,62
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Librería: Books Puddle, New York, NY, Estados Unidos de America
EUR 63,36
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Librería: PBShop.store UK, Fairford, GLOS, Reino Unido
EUR 63,17
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Añadir al carritoHRD. Condición: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Librería: Biblios, Frankfurt am main, HESSE, Alemania
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Librería: THE SAINT BOOKSTORE, Southport, Reino Unido
EUR 56,51
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Librería: PBShop.store UK, Fairford, GLOS, Reino Unido
EUR 69,67
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Añadir al carritoPAP. Condición: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Librería: AussieBookSeller, Truganina, VIC, Australia
EUR 61,40
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Añadir al carritoPaperback. Condición: new. Paperback. 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.
Librería: CitiRetail, Stevenage, Reino Unido
EUR 57,94
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Añadir al carritoPaperback. Condición: new. Paperback. 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 UK warehouse or from our Australian or US warehouses, depending on stock availability.
Librería: CitiRetail, Stevenage, Reino Unido
EUR 68,58
Cantidad disponible: 1 disponibles
Añadir al carritoHardcover. Condición: 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 UK warehouse or from our Australian or US warehouses, depending on stock availability.
Librería: AussieBookSeller, Truganina, VIC, Australia
EUR 85,44
Cantidad disponible: 1 disponibles
Añadir al carritoHardcover. Condición: 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.
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 58,55
Cantidad disponible: 1 disponibles
Añadir al carritoTaschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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.
Librería: preigu, Osnabrück, Alemania
EUR 50,35
Cantidad disponible: 5 disponibles
Añadir al carritoTaschenbuch. Condición: Neu. 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.
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 86,31
Cantidad disponible: 1 disponibles
Añadir al carritoBuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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.
Librería: preigu, Osnabrück, Alemania
EUR 87,60
Cantidad disponible: 5 disponibles
Añadir al carritoBuch. Condición: Neu. 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.) | Buch | Englisch | 2025 | Vibrant Publishers | EAN 9781636516349 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.