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Think Data Structures: Algorithms and Information Retrieval Java
Barnes and Noble
Think Data Structures: Algorithms and Information Retrieval Java
Current price: $39.99
Barnes and Noble
Think Data Structures: Algorithms and Information Retrieval Java
Current price: $39.99
Size: Paperback
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If you’re a student studying computer science or a software developer preparing for technical interviews, this practical book will help you learn and review some of the most important ideas in software engineering—data structures and algorithms—in a way that’s clearer, more concise, and more engaging than other materials.
By emphasizing practical knowledge and skills over theory, author Allen Downey shows you how to use data structures to implement efficient algorithms, and then analyze and measure their performance. You’ll explore the important classes in the Java collections framework (JCF), how they’re implemented, and how they’re expected to perform. Each chapter presents hands-on exercises supported by test code online.
Use data structures such as lists and maps, and understand how they work
Build an application that reads Wikipedia pages, parses the contents, and navigates the resulting data tree
Analyze code to predict how fast it will run and how much memory it will require
Write classes that implement the Map interface, using a hash table and binary search tree
Build a simple web search engine with a crawler, an indexer that stores web page contents, and a retriever that returns user query results
Other books by Allen Downey include
Think Java
,
Think Python
Think Stats
, and
Think Bayes
.
By emphasizing practical knowledge and skills over theory, author Allen Downey shows you how to use data structures to implement efficient algorithms, and then analyze and measure their performance. You’ll explore the important classes in the Java collections framework (JCF), how they’re implemented, and how they’re expected to perform. Each chapter presents hands-on exercises supported by test code online.
Use data structures such as lists and maps, and understand how they work
Build an application that reads Wikipedia pages, parses the contents, and navigates the resulting data tree
Analyze code to predict how fast it will run and how much memory it will require
Write classes that implement the Map interface, using a hash table and binary search tree
Build a simple web search engine with a crawler, an indexer that stores web page contents, and a retriever that returns user query results
Other books by Allen Downey include
Think Java
,
Think Python
Think Stats
, and
Think Bayes
.