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After previous careers in physics and softwaredevelopment, Philipp K. Janert currentlyprovides consulting services for data analysis,algorithm development, and mathematical modeling.He has worked for small start-ups and in largecorporate environments, both in the U.S. andoverseas. He prefers simple solutions that workto complicated ones that don't, and thinks thatpurpose is more important than process. Philippis the author of "Gnuplot in Action - UnderstandingData with Graphs" (Manning Publications), and haswritten for the O'Reilly Network, IBM developerWorks,and IEEE Software. He is named inventor on a handfulof patents, and is an occasional contributor to CPAN.He holds a Ph.D. in theoretical physics from theUniversity of Washington. Visit his company websiteat www.principal-value.com.
Data Analysis with Open Source Tools is an excellent book for experienced analysts of data.
This is, actually, the only book I have seen that covers both theory, tools and practice with such a good command and depth.
It also has some inaccuracies and typos, but at least it's much more informative and clear.
An excellent introduction to data analysis, written by someone with obvious experience in the field. Read morePublished 14 days ago by Andrew Davison
The book has lofty ambitions, and after a perusal of the table of contents, appears to live up to it. But after delving into the book, I was extremely disappointed. Read morePublished 2 months ago by chaz
I only read the first two chapters and browse the rest. It explains the topics very well, and the content is practical and usablePublished 6 months ago by joe
I found this book to be a very good introduction and it gave me a few ideas to take into work.Published 11 months ago by printer123
I'm confused: skimming the Table of Cntents, the book says "Open Source Tools" then prominently mentions MatLab (an expensive commercial product) and fails to mention... Read morePublished 12 months ago by Carol
I love this book on data analysis, but I do understand not everybody likes this style.
From a theoretical physics background, I appreciate the book and the author a lot. Read more
Every person involved in any computational science
should have read this book and always keep it
at arm's reach. Read more
Given a strong foundation in mathematics that I've rarely ever used since college 5 years ago, this book was great because:
1. Read more
I recommend this book to these who are interested in learning serious statistic and computational data analysis methods. Read morePublished 21 months ago by Edmon Begoli