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.
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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.
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Paperback. Condición: New. 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 utilises the latest version of JavaScript (ECMAScript) and its more modern features wherever appropriate. Nº de ref. del artículo: LU-9781718502628
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Paperback. Condición: New. 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 utilises the latest version of JavaScript (ECMAScript) and its more modern features wherever appropriate. Nº de ref. del artículo: LU-9781718502628
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