A technical book about popular space-efficient data structures and fast algorithms that are extremely useful in modern Big Data applications. The purpose of this book is to introduce technology practitioners, including software architects and developers, as well as technology decision makers to probabilistic data structures and algorithms. Reading this book, you will get a theoretical and practical understanding of probabilistic data structures and learn about their common uses.

Probabilistic Data Structures and Algorithms for Big Data Applications

This is a larger-format version of Elements of Programming Interviews in Java. Specifically, the font size is larger, and the page size is 7"x10" (the regular format uses 6"x9"). The content is identical. This is the Java version of our book. See our website for links to the C++ version.Have you ever... Wanted to work at an exciting futuristic company? Struggled with an interview problem thatcould have been solved in 15 minutes? Wished you could study real-world computing problems? If so, you need to read Elements of Programming Interviews (EPI). EPI is your comprehensive guide to interviewing for software development roles. The core of EPI is a collection of over 250 problems with detailed solutions. The problems are representative of interview questions asked at leading software companies. The problems are illustrated with 200 figures, 300 tested programs, and 150 additional variants. The book begins with a summary of the nontechnical aspects of interviewing, such as strategies for a great interview, common mistakes, perspectives from the other side of the table, tips on negotiating the best offer, and a guide to the best ways to use EPI. We also provide a summary of data structures, algorithms, and problem solving patterns. Coding problems are presented through a series of chapters on basic and advanced data structures, searching, sorting, algorithm design principles, and concurrency. Each chapter stars with a brief introduction, a case study, top tips, and a review of the most important library methods. This is followed by a broad and thought-provoking set of problems. A practical, fun approach to computer science fundamentals, as seen through the lens of common programming interview questions. Jeff Atwood/Co-founder, Stack Overflow and Discourse

devtobook

Probabilistic Data Structures and Algorithms for Big Data Applications1

紹介された本（洋書）

Probabilistic Data Structures and Algorithms for Big Data Applications

日本語版（翻訳本）

Elements of Programming Interviews in Java1

紹介された本（洋書）

Elements of Programming Interviews in Java

日本語版（翻訳本）