4 Hash Table Books That Separate Experts from Amateurs

What happens when deep expertise in SAS programming meets the challenges of complex data management? Paul Dorfman, a pioneer in applying hash algorithms within SAS environments since the late 1990s, unpacks this in detail. This book guides you through leveraging the SAS hash object's dynamic capabilities to handle data aggregation, filtering, sorting, and memory optimization, using real-world examples like sports statistics to ground its insights. You'll learn not just how to perform CRUD operations with hash tables but also how to manage their memory footprint effectively when dealing with big data. It's a solid read if you're aiming to master advanced data management techniques using SAS tools.

Dr. Arno Mittelbach and Marc Fischlin bring a unique focus to cryptography by placing hash functions at the center of their analysis, diverging from the usual emphasis on encryption schemes. You’ll gain a thorough understanding of theoretical foundations such as computability and probability theory, then explore hash functions’ role in security through topics like message authentication codes and collision resistance. The book also dives deep into the random oracle model, including its controversies and real-world applications, before examining various hash function constructions and their security proofs. This text is well-suited for those wanting a rigorous, mathematically grounded approach to cryptographic hash functions and their broader implications.

This tailored book explores the design and application of hash tables through a lens that matches your background and learning goals. It covers fundamental concepts such as collision resolution and hash function selection, while delving into specialized areas like memory optimization and data scaling relevant to your needs. By focusing on your specific interests, this personalized guide reveals how hash tables underpin efficient data retrieval and storage in various programming contexts. The book examines real-world use cases and common challenges in hash table implementation, helping you build a deep understanding of their role in performance-critical environments. With content tailored to your skill level and objectives, it offers a clear pathway to mastering hash table design that suits your unique technical landscape.

Thomas Mailund, an associate professor with a strong foundation in math and computer science, channels his expertise into this focused guide on hash table implementations using C. You’ll learn how to build hash tables from basic versions without collision handling to more sophisticated designs that address performance trade-offs through various collision resolution strategies. The book guides you through resizing mechanisms and storing key-value pairs, offering concrete source code examples hosted on GitHub for hands-on experimentation. It’s tailored for programmers comfortable with C who want to deepen their understanding of efficient data structures, especially those interested in optimizing lookup, insertion, and deletion operations.

The National Institute of Standards and Technology, a federal agency renowned for developing measurement and cryptographic standards, authored this detailed specification of the SHA-3 family of hash functions. This document delves into the KECCAK algorithm's permutation-based design, explaining the mathematical underpinnings and operational parameters essential for implementing SHA-3 securely. If you need a definitive reference on this cryptographic standard, including the KECCAK-p permutations foundational to future cryptographic functions, this is the go-to resource. The book caters primarily to cryptographers, security engineers, and software developers seeking authoritative guidance on SHA-3 implementation and related hash-based constructions.