This book addresses one of the most glaring gaps in JavaScript developers’ knowledge base—basic computer science concepts, like data structures and algorithms, for solving complex problems. For JavaScript developers, this book is a one-stop-shop for learning the algorithms and data structures that solve and optimize complex problems—covering everything from functional programming and abstract data types, to sorting and searching, lists, bags, binary trees, forests, heaps, and graphs. The author’s use of examples taken from coding challenges and programming interviews enables you to explore the…mehr
This book addresses one of the most glaring gaps in JavaScript developers’ knowledge base—basic computer science concepts, like data structures and algorithms, for solving complex problems. For JavaScript developers, this book is a one-stop-shop for learning the algorithms and data structures that solve and optimize complex problems—covering everything from functional programming and abstract data types, to sorting and searching, lists, bags, binary trees, forests, heaps, and graphs. The author’s use of examples taken from coding challenges and programming interviews enables you to explore the real-world advantages of specific algorithms and data structures. Written and illustrated to be a developer’s go-to reference manual for immediate on-the-job applications, performance—both from a theoretical point of view and a practical standpoint—is emphasized alongside every algorithm or data structure introduced. In addition to demonstrating best practices throughout the text, each chapter ends with a series of questions and examples that clarify the preceding concepts. The book utilizes the latest version of JavaScript (ECMAScript) and its more modern features wherever appropriate.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Federico Kereki is a Computer Systems Engineer with an M.Sc. in Education. He has over 30 years’ experience as consultant, system developer, university professor, and writer. Currently, he is a subject matter expert at Globant, where he gets to use a mixture of development frameworks, programming tools, and operating systems, such as JavaScript; Node.js; React, Vue, Svelte, Angular, Docker and containers, and SOA. Has given talks on several programming topics, such as functional programming, agile methodologies, and data structures. He has taught several courses at the Universidad de la República, Universidad ORT, and Universidad de la Empresa, and he lives in Montevideo, Uruguay.
Inhaltsangabe
Preface Introduction PART I: THE BASICS Chapter 1:The JavaScript Language and Development tools Chapter 2: Functional Programming in JavaScript Chapter 3: Abstract Data Types Chapter 4:Analyzing Algorithms PART II: ALGORITHMS Chapter 5: Designing Algorithms Chapter 6: Sorting Chapter 7: Selecting Chapter 8: Shuffling and Sampling Chapter 9: Searching PART III: DATA STRUCTURES Chapter 10: Lists Chapter 11: Bags, sets, and maps Chapter 12: Binary Trees Chapter 13: Trees and Forests Chapter 14: Heaps Chapter 15: Extended Heaps Chapter 16: Digital Search Trees Chapter 17: Graphs Chapter 18: Immutability and Functional Data Structures Answer Key
Preface Introduction PART I: THE BASICS Chapter 1:The JavaScript Language and Development tools Chapter 2: Functional Programming in JavaScript Chapter 3: Abstract Data Types Chapter 4:Analyzing Algorithms PART II: ALGORITHMS Chapter 5: Designing Algorithms Chapter 6: Sorting Chapter 7: Selecting Chapter 8: Shuffling and Sampling Chapter 9: Searching PART III: DATA STRUCTURES Chapter 10: Lists Chapter 11: Bags, sets, and maps Chapter 12: Binary Trees Chapter 13: Trees and Forests Chapter 14: Heaps Chapter 15: Extended Heaps Chapter 16: Digital Search Trees Chapter 17: Graphs Chapter 18: Immutability and Functional Data Structures Answer Key
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