Data Sorcery with Clojure is a comprehensive guide that explores the fascinating world of data analysis and manipulation using the Clojure programming language. Written by Luke VanderHart and Ryan Neufeld, this book is an invaluable resource for anyone who wants to learn how to harness the power of Clojure for data analysis.

The book begins by introducing Clojure and its unique approach to programming, including its functional programming paradigm and its powerful support for concurrency. From there, the authors dive into the basics of data analysis, including data structures, algorithms, and statistics.

One of the key strengths of Clojure is its ability to seamlessly integrate with other languages and tools. The book explores how Clojure can be used with popular data analysis tools such as Apache Hadoop, Spark, and Cassandra. It also covers how to work with data in different formats, including JSON, XML, and CSV.

The authors provide numerous examples and exercises throughout the book to help readers solidify their understanding of the concepts presented. They also cover advanced topics such as machine learning, natural language processing, and network analysis using Clojure.

One of the standout features of the book is its focus on practicality. The authors demonstrate how to use Clojure to solve real-world data analysis problems, from predicting customer behavior to analyzing social media sentiment.

Whether you are a seasoned programmer or just starting out, Data Sorcery with Clojure is an excellent resource for anyone interested in data analysis and manipulation. The book is well-written, engaging, and packed with practical examples that will help you develop a strong foundation in Clojure and data analysis. So if you’re ready to become a data sorcerer, this book is an excellent place to start.