- Haskell Data Analysis Cookbook
- Nishant Shukla
- 320字
- 2021-12-08 12:43:29
About the Reviewers
Lorenzo Bolla holds a PhD in Numerical Methods and works as a software engineer in London. His interests span from functional languages to high-performance computing to web applications. When he's not coding, he is either playing piano or basketball.
James Church completed his PhD in Engineering Science with a focus on computational geometry at the University of Mississippi in 2014 under the advice of Dr. Yixin Chen. While a graduate student at the University of Mississippi, he taught a number of courses for the Computer and Information Science's undergraduates, including a popular class on data analysis techniques. Following his graduation, he joined the faculty of the University of West Georgia's Department of Computer Science as an assistant professor. He is also a reviewer of The Manga Guide To Regression Analysis, written by Shin Takahashi, Iroha Inoue, and Trend-Pro Co. Ltd., and published by No Starch Press.
I would like to thank Dr. Conrad Cunningham for recommending me to Packt Publishing as a reviewer.
Andreas Hammar is a Computer Science student at Norwegian University of Science and Technology and a Haskell enthusiast. He started programming when he was 12, and over the years, he has programmed in many different languages. Around five years ago, he discovered functional programming, and since 2011, he has contributed over 700 answers in the Haskell tag on Stack Overflow, making him one of the top Haskell contributors on the site. He is currently working part time as a web developer at the Student Society in Trondheim, Norway.
Marisa Reddy is pursuing her B.A. in Computer Science and Economics at the University of Virginia. Her primary interests lie in computer vision and financial modeling, two areas in which functional programming is rife with possibilities.
I congratulate Nishant Shukla for the tremendous job he did in writing this superb book of recipes and thank him for the opportunity to be a part of the process.
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