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Philipp K. Janert provides consulting services for data analysis and mathematical modeling, drawing on his previous careers as physicist and software engineer.
He is the author of the best-selling Data Analysis with Open Source Tools (O'Reilly), as well as Gnuplot in Action: Understanding Data with Graphs (Manning Publications). He has written for the O'Reilly Network, IBM developerWorks, and IEEE Software. He holds a Ph.D. in theoretical physics from the University of Washington.
Visit his company website at www.principal-value.com.
Areas of Expertise:
- data analysis
- data modeling
- mathematical modeling
“I love this book a lot.”— Rik Farrow, ;login:
“This book is perfect for hands-on readers, wanting to achieve specific goals without getting entangled in formal definitions by getting right to the point. Here is an analogy: a Common Kite is depicted on the front cover of the book and as the bird waiting for its prey, youll be able to analyse the situation, understand it and take a clear decision after this read.”— Mathieu Hanna, Adviso
“This book offers a deep approach to real world tasks. There is much more text than code...It is hard to fault this book except perhaps that at nearly 500 pages, it is too short! ”— Neil McNaughton, Oil IT Journal
“Data analysis using open source tools is a straightforward, well explained and practical book which does not give just a laundry list of techniques but also useful pointers in how to use them intelligently. The book...is strongly recommended.”— Manoj Rengarajan, BookPleasures.com
“Data Analysis with Open Source Tools by Philipp K Janert is a simply superb, solid and exhaustive synthesis of instruction, workshops and hands-on exercises designed for those serious about conducting professional data analysis. This is not a lightweight undertaking...All in all, this is a very good book. It actually does more than it promises and delivers a comprehensive and effective course in data analysis with superb hands-on exercises to drive home the learning.”— Shawn Day, randomosity