Data Crunching: Solve Everyday Problems Using Java, Python, and more.

Data Crunching: Solve Everyday Problems Using Java, Python, and more.
by Greg Wilson

Data Crunching: Solve Everyday Problems Using Java, Python, and more.
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Book Summary Information

Author: Greg Wilson
Edition: Paperback
Audio: English (Original Language); English (Unknown); English (Published)
Published: 2005-04-20
ISBN: 0974514071
Number of pages: 176
Publisher: Pragmatic Bookshelf
Accessories:

Book Reviews of Data Crunching: Solve Everyday Problems Using Java, Python, and more.

Book Review: Short, Informative, Useful and Clear
Summary: 5 Stars

Some of the best technical books are short, clear, easy to understand, and practical. Greg's book falls into this description. This a great book for exploring algorithms in the python language. The book assumes the reader has at least a basic understanding of the python programming language or some programming experience. I was delighted that topics were presented in a concise and unambigous way and that the book was short. There should be more short books published!
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All Data Crunching: Solve Everyday Problems Using Java, Python, and more. Customer Reviews

Summary of Data Crunching: Solve Everyday Problems Using Java, Python, and more.

Every day, all around the world, programmers have to recycle legacy data, translate from one vendor's proprietary format into another's, check that configuration files are internally consistent, and search through web logs to see how many people have downloaded the latest release of their product. This kind of "data crunching," may not be glamorous, but knowing how to do it efficiently is essential to being a good programmer.

This book describes the most useful data crunching techniques, explains when you should use them, and shows how they will make your life easier. Along the way, it will introduce you to some handy, but under-used, features of Java, Python, and other languages. It will also show you how to test data crunching programs, and how data crunching fits into the larger software development picture.

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