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 eff... (展开全部) 　　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.　　

　　作者自述：
　　As a frequent book reviewer for Doctor Dobb's Journal, I've probably read about 30 books on programming this year, and paged through twice that many again. Some of them cover old ground---gushing about Ruby/AJAX/whatever the latest trend is, or repackaging some of Microsoft's .NET documentation---but a few of this year's books were genuinely new. So, without further ado, my favorites were:
　　* Thompson and Chase's Software Vulnerability Guide.
　　* Doar's Practical Development Environments.
　　* Berkun's Art of Project Management.
　　* Fogel's Producing Open Source Software.
　　* Thomas and Hansson's Agile Web Development with Rails.
　　* Eilam's Reversing.
　　* Zeller's Why Programs Fail.