Essential data structures algorithms von joseph (10 Ergebnisse)
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PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.
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Paperback or Softback. Zustand: New. Essential Data Structures and Algorithms in Java: Apply proven problem-solving patterns to write faster and cleaner AI-native code. Book.
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Paperback. Zustand: new. Paperback. Master essential data structures and algorithms in Java with clear examples, visual walkthroughs, and real-world coding exercises designed to build your problem-solving skills fastKey FeaturesBuild solid foundations with a complete overview of core DSA conceptsImplement advanced data structure…s for AI agents and complex systemsMaster Java Collections and complexity analysis for scalable applicationsVisualize and debug algorithms with detailed annotated walkthroughsBook DescriptionDeveloping efficient, reliable software starts with mastering data structures and algorithms. This practical guide helps you bridge theory and practice using Java, focusing on real-world challenges and pragmatic solutions. You will explore foundational data structures such as arrays, lists, stacks, queues, trees, and graphs, and learn how to implement them natively and leverage the Java Collections Framework to build scalable applications. With each concept, you will work through step-by-step exercises that illustrate how algorithms are applied to tasks such as searching, sorting, and traversing data.Rather than being theory-heavy or overly abstract, this book takes a problem-first approach, balancing conceptual explanations with immediate hands-on application. Visual walkthroughs, annotated code, and progressive exercises guide you through each concept, helping you internalize how different structures and algorithms impact performance. Each chapter ends with review problems and thought exercises designed to reinforce key ideas and build your confidence through practice.Guided by a veteran software engineer with over 20 years of industry experience, you will gain the skills to implement advanced data structures for modern software systems and write faster, cleaner, and more effective Java code in real development environments.What you will learnUnderstand and implement core data structures in JavaAnalyze time and space complexity with Big O notationSolve coding problems with arrays, linked lists, and hash mapsUse stacks and queues to manage linear data workflowsApply tree and graph algorithms to hierarchical and networked dataMaster dynamic programming approachesDesign concurrent applications using Java's built-in toolsEvaluate algorithmic trade-offs for real-world applications including AIWho this book is forPerfect for aspiring Java developers, CS students, and software engineers with a foundation in JDK 11+ and OOP looking for a practical DSA refresher. This book skips basic syntax tutorials to front-load core principles, allowing you to turn theory into high-performance logic. Master complex algorithms and apply proven problem-solving patterns to write faster, cleaner, and AI-native Java code. Learn how to think algorithmically and write efficient Java code with this approachable guide to essential data structures and algorithms, designed with real-world challenges and hands-on illustrations. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
- Softcover
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Paperback. Zustand: new. Paperback. Master essential data structures and algorithms in Java with clear examples, visual walkthroughs, and real-world coding exercises designed to build your problem-solving skills fastKey FeaturesBuild solid foundations with a complete overview of core DSA conceptsImplement advanced data structure…s for AI agents and complex systemsMaster Java Collections and complexity analysis for scalable applicationsVisualize and debug algorithms with detailed annotated walkthroughsBook DescriptionDeveloping efficient, reliable software starts with mastering data structures and algorithms. This practical guide helps you bridge theory and practice using Java, focusing on real-world challenges and pragmatic solutions. You will explore foundational data structures such as arrays, lists, stacks, queues, trees, and graphs, and learn how to implement them natively and leverage the Java Collections Framework to build scalable applications. With each concept, you will work through step-by-step exercises that illustrate how algorithms are applied to tasks such as searching, sorting, and traversing data.Rather than being theory-heavy or overly abstract, this book takes a problem-first approach, balancing conceptual explanations with immediate hands-on application. Visual walkthroughs, annotated code, and progressive exercises guide you through each concept, helping you internalize how different structures and algorithms impact performance. Each chapter ends with review problems and thought exercises designed to reinforce key ideas and build your confidence through practice.Guided by a veteran software engineer with over 20 years of industry experience, you will gain the skills to implement advanced data structures for modern software systems and write faster, cleaner, and more effective Java code in real development environments.What you will learnUnderstand and implement core data structures in JavaAnalyze time and space complexity with Big O notationSolve coding problems with arrays, linked lists, and hash mapsUse stacks and queues to manage linear data workflowsApply tree and graph algorithms to hierarchical and networked dataMaster dynamic programming approachesDesign concurrent applications using Java's built-in toolsEvaluate algorithmic trade-offs for real-world applications including AIWho this book is forPerfect for aspiring Java developers, CS students, and software engineers with a foundation in JDK 11+ and OOP looking for a practical DSA refresher. This book skips basic syntax tutorials to front-load core principles, allowing you to turn theory into high-performance logic. Master complex algorithms and apply proven problem-solving patterns to write faster, cleaner, and AI-native Java code. Learn how to think algorithmically and write efficient Java code with this approachable guide to essential data structures and algorithms, designed with real-world challenges and hands-on illustrations. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
- Softcover
- Print-on-Demand
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Paperback. Zustand: new. Paperback. Master essential data structures and algorithms in Java with clear examples, visual walkthroughs, and real-world coding exercises designed to build your problem-solving skills fastKey FeaturesBuild solid foundations with a complete overview of core DSA conceptsImplement advanced data structure…s for AI agents and complex systemsMaster Java Collections and complexity analysis for scalable applicationsVisualize and debug algorithms with detailed annotated walkthroughsBook DescriptionDeveloping efficient, reliable software starts with mastering data structures and algorithms. This practical guide helps you bridge theory and practice using Java, focusing on real-world challenges and pragmatic solutions. You will explore foundational data structures such as arrays, lists, stacks, queues, trees, and graphs, and learn how to implement them natively and leverage the Java Collections Framework to build scalable applications. With each concept, you will work through step-by-step exercises that illustrate how algorithms are applied to tasks such as searching, sorting, and traversing data.Rather than being theory-heavy or overly abstract, this book takes a problem-first approach, balancing conceptual explanations with immediate hands-on application. Visual walkthroughs, annotated code, and progressive exercises guide you through each concept, helping you internalize how different structures and algorithms impact performance. Each chapter ends with review problems and thought exercises designed to reinforce key ideas and build your confidence through practice.Guided by a veteran software engineer with over 20 years of industry experience, you will gain the skills to implement advanced data structures for modern software systems and write faster, cleaner, and more effective Java code in real development environments.What you will learnUnderstand and implement core data structures in JavaAnalyze time and space complexity with Big O notationSolve coding problems with arrays, linked lists, and hash mapsUse stacks and queues to manage linear data workflowsApply tree and graph algorithms to hierarchical and networked dataMaster dynamic programming approachesDesign concurrent applications using Java's built-in toolsEvaluate algorithmic trade-offs for real-world applications including AIWho this book is forPerfect for aspiring Java developers, CS students, and software engineers with a foundation in JDK 11+ and OOP looking for a practical DSA refresher. This book skips basic syntax tutorials to front-load core principles, allowing you to turn theory into high-performance logic. Master complex algorithms and apply proven problem-solving patterns to write faster, cleaner, and AI-native Java code. Learn how to think algorithmically and write efficient Java code with this approachable guide to essential data structures and algorithms, designed with real-world challenges and hands-on illustrations. 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.
