Data crunching : solve everyday problems using Java, Python, and more
著者
書誌事項
Data crunching : solve everyday problems using Java, Python, and more
（The pragmatic programmers）
Pragmatic Bookshelf, c2005
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注記
Includes bibliographical references (p. [187]-188) and index
内容説明・目次
内容説明
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.
目次
1 Introduction 1 1.1 Name That Molecule 1.2 There's One in Every Crowd 1.3 And the Moral Is 1.4 Questions About Data Crunching 1.5 Road Map 2 Text 8 2.1 Reversing a File 2.2 Reformatting Data 2.3 Handling Multiline Records 2.4 Checking for Collisions 2.5 Including One File in Another 2.6 The Unix Shell 2.7 Very Large Data Sets 2.8 Summary 8 3 Regular Expressions 3.1 The Shell 3.2 Basic Patterns 3.3 Extracting Matched Values 3.4 Practical Applications 3.5 Speaking in Tongues 3.6 Other Systems 3.7 Summary 4 XML 4.1 AQuick Introduction 4.2 SAX 4.3 DOM 4.4 XPath 4.5 XSLT 4.6 Summary 5 Binary Data 5.1 Numbers 5.2 Input and Output 5.3 Strings 5.4 Summary 6 Relational Databases 6.1 Simple Queries 6.2 Nesting and Negation 6.3 Aggregation and Views 6.4 Creating, Updating, and Deleting 6.5 Using SQL in Programs 6.6 Summary 7 Horseshoe Nails 7.1 Unit Testing 7.2 Encoding and Decoding 7.3 Floating-Point Arithmetic 7.4 Dates and Times 7.5 Summary A Resources A.1 Bibliography
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