Name: Learning Algorithms: A Programmer'S Guide to Writing Better Code (en Inglés)
Price: 66680.00 CLP
Availability: InStock
Author: Heineman, George
ISBN: 9781492091066

portada Learning Algorithms: A Programmer'S Guide to Writing Better Code (en Inglés)

Formato

Libro Físico

Autor

George Heineman

Editorial

O'Reilly Media

Año

2021

Idioma

Inglés

N° páginas

280

Encuadernación

Tapa Blanda

Dimensiones

23.2 x 17.8 x 2.0 cm

Peso

0.48 kg.

ISBN13

9781492091066

N° edición

Categorías

Algoritmos y estructuras de datos
Machine learning: aprendizaje automático

Learning Algorithms: A Programmer'S Guide to Writing Better Code (en Inglés)

George Heineman (Autor) · O'Reilly Media · Tapa Blanda

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Origen: Reino Unido (Costos de importación incluídos en el precio)

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Reseña del libro "Learning Algorithms: A Programmer'S Guide to Writing Better Code (en Inglés)"

When it comes to writing efficient code, every software professional needs to have an effective working knowledge of algorithms. In this practical book, author George Heineman (Algorithms in a Nutshell) provides concise and informative descriptions of key algorithms that improve coding. Software developers, testers, and maintainers will discover how algorithms solve computational problems creatively. Each chapter builds on earlier chapters through eye-catching visuals and a steady rollout of essential concepts, including an algorithm analysis to classify the performance of every algorithm presented in the book. At the end of each chapter, you'll get to apply what you've learned to a novel challenge problem -- simulating the experience you might find in a technical code interview. With this book, you will: Examine fundamental algorithms central to computer science and software engineering Learn common strategies for efficient problem solving -- such as divide and conquer, dynamic programming, and greedy approaches Analyze code to evaluate time complexity using big O notation Use existing Python libraries and data structures to solve problems using algorithms Understand the main steps of important algorithms