Algorithms and data structures are much more than abstract concepts. Mastering them enables you to write code that runs faster and more efficiently, which is particularly important for today's web and mobile apps. Take a practical approach to data structures and algorithms, with techniques and real-world scenarios that you can use in your daily production code, with examples in JavaScript, Python, and Ruby. This new and revised second edition features new chapters on recursion, dynamic programming, and using Big O in your daily work.
Use Big O notation to measure and articulate the efficiency of your code, and modify your algorithm to make it faster. Find out how your choice of arrays, linked lists, and hash tables can dramatically affect the code you write. Use recursion to solve tricky problems and create algorithms that run exponentially faster than the alternatives. Dig into advanced data structures such as binary trees and graphs to help scale specialized applications such as social networks and mapping software. You'll even encounter a single keyword that can give your code a turbo boost. Practice your new skills with exercises in every chapter, along with detailed solutions.
Use these techniques today to make your code faster and more scalable.
Detalhes do produto
Editora : Pragmatic Bookshelf; 2nd ed. edição (15 setembro 2020)
Idioma : Inglês
Capa comum : 508 páginas
ISBN-10 : 1680507222
ISBN-13 : 978-1680507225
Dimensões : 19.05 x 2.59 x 23.5 cm
Ranking dos mais vendidos: Nº 39.784 em Livros (Conheça o Top 100 na categoria Livros)
Nº 9 em Importados de Algoritmos e Programação
Nº 12 em Importados de Análise de Sistemas e Design
Nº 15 em Importados de Software em Informática e Tecnologia
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