Bookbot

Learning Algorithms

Ocena książki

Parametry

  • 280 stron
  • 10 godzin czytania

Więcej o książce

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

Zakup książki

Learning Algorithms, George Heineman

Język
Rok wydania
2021
Oprawa
(miękka)
Jak tylko się pojawi, wyślemy Ci wiadomość e-mail.

Metody płatności

4,5
Bardzo dobra
2 Ocena

Brakuje nam tutaj Twojej recenzji.

Tytuł
Learning Algorithms
Język
angielski
Rok wydania
2021
Oprawa
miękka
Liczba stron
280
ISBN10
1492091065
ISBN13
9781492091066
Seria
Tagi
Ocena
4,5 z 5
Opis
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