Absolute Beginner's Guide to Algorithms: A Practical Introduction to Data Structures and Algorithms in JavaScript

Chinnathambi, Kirupa

ISBN 10: 0138222290 / ISBN 13: 9780138222291

Edité par Addison-Wesley Professional, 2023

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N° de réf. du vendeur 9780138222291

Détails bibliographiques

• Titre: Absolute Beginner's Guide to Algorithms: A Practical Introduction to Data Structures and Algorithms in JavaScript
• Éditeur: Addison-Wesley Professional
• Date de parution: 2023
• Langue: anglais
• ISBN à 10 chiffres: 0138222290
• ISBN à 13 chiffres: 9780138222291
• Reliure: Couverture souple
• État de l'article: New

A propos de ce titre

Synopsis

A hands-on, easy-to-comprehend guide that is perfect for anyone who needs to understand algorithms.

With the explosive growth in the amount of data and the diversity of computing applications, efficient algorithms are needed now more than ever. Programming languages come and go, but the core of programming--algorithms and data structures--remains the same.

Absolute Beginner's Guide to Algorithms is the fastest way to learn algorithms and data structures. Using helpful diagrams and fully annotated code samples in Javascript, you will start with the basics and gradually go deeper and broader into all the techniques you need to organize your data.

• Start fast with data structures basics: arrays, stacks, queues, trees, heaps, and more
• Walk through popular search, sort, and graph algorithms
• Understand Big-O notation and why some algorithms are fast and why others are slow
• Balance theory with practice by playing with the fully functional JavaScript implementations of all covered data structures and algorithms

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À propos de l?auteur

Kirupa Chinnathambi has spent most of his life teaching others to love web development as much as he does. He founded KIRUPA, one of the Web's most popular free web development education resources, serving 210,000+ registered members. Now a product manager at Google, he has authored several books, including Learning React (2017). He holds a B.S. in computer science from MIT.