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Data Crunching

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Synopses & Reviews

Publisher Comments:


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.

After reading this book, you'll be able to:
  • Tackle real-world legacy data conversion problems
  • Apply advanced tools such as regular expressions and XSLT
  • Transform XML and other structured documents
  • Extract ad hoc information from relational databases using SQL
  • Design, build, and test programs for searching log files, converting data sources, configuring other programs, and more!

Synopsis:

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.

About the Author

Greg Wilson is a computer programmer and former teacher who lives in Toronto.

William Lytle has been teaching architectural design for several years as well as illustrating books for children. He lives in Toronto.

Product Details

ISBN:
9780974514079
Subtitle:
Solve Everyday Problems Using Java, Python, and more.
Author:
Wilson, Greg
Publisher:
Pragmatic Bookshelf
Subject:
Programming Languages - General
Subject:
Programming - General
Subject:
Programming - Software Development
Subject:
Problem solving
Subject:
Java (Computer program language)
Subject:
Programming Languages - Java
Subject:
Programming Languages - Python
Subject:
Software Development & Engineering - General
Subject:
Python (Computer program language)
Subject:
Software Engineering-General
Subject:
Java;Python;algorithms;data;database
Subject:
Programming Languages - CGI, Javascript, Perl, VBScript
Copyright:
Edition Description:
Print PDF
Publication Date:
April 2005
Binding:
Paperback
Language:
English
Pages:
176
Dimensions:
9 x 7.5 x 0.63 in 0.94 lb

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Related Subjects

Computers and Internet » Computer Languages » Java
Computers and Internet » Computer Languages » Python
Computers and Internet » Software Engineering » General
Computers and Internet » Software Engineering » Programming and Languages

Data Crunching Used Trade Paper
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Product details 176 pages Pragmatic Bookshelf - English 9780974514079 Reviews:
"Synopsis" by ,

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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