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Greg Wilson holds a Ph.D. in Computer Science from the University of Edinburgh, and has worked on high-performance scientific computing, data visualization, and computer security. He is the author of Data Crunching and Practical Parallel Programming (MIT Press, 1995), and is a contributing editor at Doctor Dobb's Journal, and an adjunct professor in Computer Science at the University of Toronto.
I've never owned a book on this subject matter, but I wish I had it years ago. It presents many topics that become common sense over time in the field. Read morePublished on November 16, 2012 by phalseprofet
This book is full of great ideas and very helpful code.
It's also nice to see the Java equivalent app/code for the python solution. Read more
Yeah, its 'Short, Informative, Useful and Clear' (like someone already said) but... it's not enough. Read morePublished on February 26, 2009 by Luiz Augusto
Some of the best technical books are short, clear, easy to understand, and practical. Greg's book falls into this description. Read morePublished on August 15, 2006 by Noah Gift
The book presents the topics in conjunction with showing some practical data mining examples that any person might encounter. Read morePublished on July 3, 2006 by Abdulmajed Dakkak
Data Crunching by Greg Wilson.
The book opens with a statement of purpose: transmuting data from one form into another. Read more
This is an excellent introduction to typical data crunching applications. I found it to be very readable and filled with lots of examples. Read morePublished on November 3, 2005 by Nick Bulitka
There exists a set of tasks common to every software developer independent of the type of application developed and the language used. Read morePublished on July 21, 2005 by Jason
If you're reading this, you probably spend some quality time developing software. If you're developing software, chances are that you have to move data around on a daily basis... Read morePublished on June 21, 2005 by Mathias Meyer