Getting code to do what we want it to do is perhaps the essence of our purpose as developers. So there are few things more intriguing or important than code that we think we understand, but that behaves rather contrary to our expectations. Scala Puzzlers is a collection of such examples in Scala. It is not only an entertaining and instructive way of understanding this highly expressive language better. It will also help you recognize many counter-intuitive traps and pitfalls and prevent them from inflicting further production bug hunt stress on Scala developers.
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Andrew Phillips Specializing in concurrency and high-performance applications, Andrew developed large-scale systems while working for a succession of multinationals. A long-standing open-source developer and community member, he worked on Multiverse, the STM implementation originally used in Akka; contributes to Apache jclouds, the leading Java cloud library; and co-maintains the Scala Puzzlers website, http://scalapuzzlers.com. He regularly writes for developer sites and speaks at conferences and meetups. Andrew studied Artificial Intelligence and Mathematics at the University of Edinburgh and maintains a keen interest in machine learning, quantum computation, and computational neuroscience. Nermin Serifovic Nermin Serifovic has more than 10 years of experience building enterprise software applications using Java technologies. For most of his career, he has focused on architecting, designing, and developing backend platforms. Nermin has been a Scala enthusiast since 2009 and practicing it professionally since 2011. He has given talks at various conferences, including JavaOne, Scala Days, and Northeast Scala Symposium, as well as at local Scala and Java user groups. Nermin is also an active Scala community member. He is an organizer of the Boston Area Scala Enthusiasts user group and was part of the Northeast Scala Symposium founding team. Further, he is a co-creator of the Scala Puzzlers website. Nermin holds an M.Eng in Computer Science from Cornell University and his areas of interest include distributed systems along with concurrent, reactive, and functional programming.
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