Java for Data Science
Copyright 2017 Packt Publishing
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First published: January 2017
Production reference: 1050117
Published by Packt Publishing Ltd.
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ISBN 978-1-78528-011-5
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Credits
Authors Richard M. Reese Jennifer L. Reese | Copy Editors Vikrant Phadkay Safis Editing |
Reviewers Walter Molina Shilpi Saxena | Project Coordinator Nidhi Joshi |
Commissioning Editor Veena Pagare | Proofreader Safis Editing |
Acquisition Editor Tushar Gupta | Indexer Aishwarya Gangawane |
Content Development Editor Aishwarya Pandere | Graphics Disha Haria |
Technical Editor Suwarna Patil | Production Coordinator Nilesh Mohite |
About the Authors
Richard M. Reese has worked in both industry and academics. For 17 years, he worked in the telephone and aerospace industries, serving in several capacities, including research and development, software development, supervision, and training. He currently teaches at Tarleton State University, where he has the opportunity to apply his years of industry experience to enhance his teaching.
Richard has written several Java books and a C Pointer book. He uses a concise and easy-to-follow approach to topics at hand. His Java books have addressed EJB 3.1, updates to Java 7 and 8, certification, jMonkeyEngine, natural language processing, functional programming, and networks.
Richard would like to thank his wife, Karla, for her continued support, and to the staff of Packt Publishing for their work in making this a better book.
Jennifer L. Reese studied computer science at Tarleton State University. She also earned her M.Ed. from Tarleton in December 2016. She currently teaches computer science to high-school students. Her research interests include the integration of computer science concepts with other academic disciplines, increasing diversity in computer science courses, and the application of data science to the field of education.
She previously worked as a software engineer developing software for county- and district-level government offices throughout Texas. In her free time she enjoys reading, cooking, and travelingespecially to any destination with a beach. She is a musician and appreciates a variety of musical genres.
I would like to thank Dad for his inspiration and guidance, Mom for her patience and perspective, and Jace for his support and always believing in me.
About the Reviewers
Walter Molina is a UI and UX developer from Villa Mercedes, San Luis, Argentina. His skills include, but are not limited to, HTML5, CSS3, and JavaScript. He uses these technologies at a Jedi/ninja level (along with a plethora of JavaScript libraries) in his daily work as a frontend developer at Tachuso, a creative content agency. He holds a bachelor's degree in computer science and is a member of the School of Engineering at local National University, where he teaches programming skills to second- and third-year students. His LinkedIn profile is https://ar.linkedin.com/in/waltermolina.
Shilpi Saxena is an IT professional and also a technology evangelist. She is an engineer who has had exposure to various domains (IOT and cloud computing space, healthcare, telecom, hiring, and manufacturing). She has experience in all the aspects of conception and execution of enterprise solutions. She has been architecting, managing, and delivering solutions in the big data space for the last 3 years; she also handles a high-performance and geographically distributed team of elite engineers.
Shilpi has more than 14 years (3 years in the big data space) of experience in the development and execution of various facets of enterprise solutions both in the products and services dimensions of the software industry. An engineer by degree and profession, she has worn various hats, such as developer, technical leader, product owner, tech manager, and so on, and has seen all the flavors that the industry has to offer. She has architected and worked through some of the pioneers' production implementations in big data on Storm and Impala with autoscaling in AWS.
Shilpi has also authored Real-time Analytics with Storm and Cassandra ( https://www.packtpub.com/big-data-and-business-intelligence/learning-real-time-analytics-storm-and-cassandra ) and Real time Big Data Analytics ( https://www.packtpub.com/big-data-and-business-intelligence/real-time-big-data-analytics ) with Packt Publishing .
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