by Randal L. Schwartz and Tom Phoenix
ISBN 0-596-00132-0
Third Edition, published July 2001.
(See the catalog page for this book.)
Learning Perl, 3rd Edition.
Table of Contents
Copyright Page
Preface
Chapter 1: Introduction
Chapter 2: Scalar Data
Chapter 3: Lists and Arrays
Chapter 4: Subroutines
Chapter 5: Hashes
Chapter 6: I/O Basics
Chapter 7: Concepts of Regular Expressions
Chapter 8: More About Regular Expressions
Chapter 9: Using Regular Expressions
Chapter 10: More Control Structures
Chapter 11: Filehandles and File Tests
Chapter 12: Directory Operations
Chapter 13: Manipulating Files and Directories
Chapter 14: Process Management
Chapter 15: Strings and Sorting
Chapter 16: Simple Databases
Chapter 17: Some Advanced Perl Techniques
Appendix A: Exercise Answers
Appendix B: Beyond the Llama
Index
Colophon
a Java toolkit for training, testing, and applying Bayesian Network Classifiers. Implemented classifiers have been shown to perform well in a variety of artificial intelligence, machine Learning, and data mining applications.
Java Regex Primer Since version 1.4, Java has had support for Regular Expressions in the core API. Java Regex follows the same basic principles used in other languages, just withdi erent access methods, and some subtledi erences with the patterns. This primer is aimed towards developers already familiar with regex in other languages wanting a brief outline of its support in Java. It may also be beneficial to developers Learning regex if used in conjunction with detailed documentation explaining the construction of regex patterns. Reading the javadoc forjava.util.regex. Pattern is a must to see how the Java regex patterns aredi erent from other languages such as Perl. Most of the functions discussed herin are from thejava.util.regex. Matcher class with a few fromjava.util.regex. Pattern. Reading this text in conjunction with the javadoc of those classes is advised.
If you design applications, or if you build, test, or document solutions, you need this book. If your applications are Web-based or Win32-based, you need this book. Finally, if you are currently Learning or building Microsoft .NET Framework–based applications, you need this book. In short, if you are involved in building applications, you will find much to learn in this book.
This data set contains WWW-pages collected from computer science departments of various universities in January 1997 by the World Wide Knowledge Base (Web->Kb) project of the CMU text Learning group. The 8,282 pages were manually classified into the following categories:
student (1641)
faculty (1124)
staff (137)
department (182)
course (930)
project (504)
other (3764)
