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Mastering Regular Expressions Book

Mastering Regular Expressions
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Mastering Regular Expressions, Regular expressions are a powerful tool for manipulating text and data. If you don't use them yet, you will discover in this book a whole new world of mastery over your data. If you already use them, you'll appreciate this book's unprecedented detail and , Mastering Regular Expressions
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  • Mastering Regular Expressions
  • Written by author Jeffrey E. F. Freidl, Andy Oram
  • Published by O'Reilly Media, 1997/01/01
  • Regular expressions are a powerful tool for manipulating text and data. If you don't use them yet, you will discover in this book a whole new world of mastery over your data. If you already use them, you'll appreciate this book's unprecedented detail and
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Book Categories

Authors

Preface
Why I Wrote This Book
Intended Audience
How to Read This Book
This Book, as a Story
This Book, as a Reference
Organization
The Introduction
The Details
Tool-Specific Information
Typographical Conventions
Exercises
Personal Comments and Acknowledgments
Shoulders to Stand On
Other Thanks
In the Future
Chapter 1. Introduction to Regular Expressions
Solving Real Problems
Regular Expressions as a Language
The Filename Analogy
The Language Analogy
The Regular-Expression Frame of Mind
Searching Text Files: Egrep
Egrep Metacharacters
Start and End of the Line
Character Classes
Matching Any Character -- Dot
Alternation
Word Boundaries
In a Nutshell
Optional Items
Other Quantifiers: Repetition
Ignoring Differences in Capitalization
Parentheses and Backreferences
The Great Escape
Expanding the Foundation
Linguistic Diversification
The Goal of a Regular Expression
A Few More Examples
Regular Expression Nomenclature
Improving on the Status Quo
Summary
Personal Glimpses
Chapter 2. Extended Introductory Examples
About the Examples
A Short Introduction to Perl
Matching Text with Regular Expressions
Toward a More Real-World Example
Side Effects of a Successful Match
Intertwined Regular Expressions
Intermission
Modifying Text with Regular Expressions
Automated Editing
A Small Mail Utility
That Doubled-Word Thing
Chapter 3. Overview of Regular Expression Features and Flavors
A Casual Stroll Across the Regex Landscape
The World According to Grep
The Times They Are a'|Changin'
At a Glance
POSIX
Care and Handling of Regular Expressions
Identifying a Regex
Doing Something with the Matched Text
Other Examples
Care and Handling: Summary
Engines and Chrome Finish
Chrome and Appearances
Engines and Drivers
Common Metacharacters
Character Shorthands
Strings as Regular Expressions
Class Shorthands, Dot, and Character Classes
Anchoring
Grouping and Retrieving
Quantifiers
Alternation
Guide to the Advanced Chapters
Tool-Specific Information
Chapter 4. The Mechanics of Expression Processing
Start Your Engines!
Two Kinds of Engines
New Standards
Regex Engine Types
From the Department of Redundancy Department
Match Basics
About the Examples
Rule 1: The Earliest Match Wins
The ``Transmission'' and the Bump-Along
Engine Pieces and Parts
Rule 2: Some Metacharacters Are Greedy
Regex-Directed vs. Text-Directed
NFA Engine: Regex-Directed
DFA Engine: Text-Directed
The Mysteries of Life Revealed
Backtracking
A Really Crummy Analogy
Two Important Points on Backtracking
Saved States
Backtracking and Greediness
More About Greediness
Problems of Greediness
Multi-Character ``Quotes''
Laziness?
Greediness Always Favors a Match.
Is Alternation Greedy?
Uses for Non-Greedy Alternation
Greedy Alternation in Perspective
Character Classes vs. Alternation
NFA, DFA, and POSIX
``The Longest-Leftmost''
POSIX and the Longest-Leftmost Rule
Speed and Efficiency
DFA and NFA in Comparison
Practical Regex Techniques
Contributing Factors
Be Specific
Difficulties and Impossibilities
Watching Out for Unwanted Matches
Matching Delimited Text
Knowing Your Data and Making Assumptions
Additional Greedy Examples
Summary
Match Mechanics Summary
Some Practical Effects of Match Mechanics
Chapter 5. Crafting a Regular Expression
A Sobering Example
A Simple Change -- Placing Your Best Foot Forward
More Advanced -- Localizing the Greediness
Reality Check
A Global View of Backtracking
More Work for a POSIX NFA
Work Required During a Non-Match
Being More Specific
Alternation Can Be Expensive
A Strong Lead
The Impact of Parentheses
Internal Optimizations
First-Character Discrimination
Fixed-String Check
Simple Repetition
Needless Small Quantifiers
Length Cognizance
Match Cognizance
Need Cognizance
String/Line Anchors
Compile Caching
Testing the Engine Type
Basic NFA vs. DFA Testing
Traditional NFA vs. POSIX NFA Testing
Unrolling the Loop
Method 1: Building a Regex From Past Experiences
The Real ``Unrolling the Loop'' Pattern
Method 2: A Top-Down View
Method 3: A Quoted Internet Hostname
Observations
Unrolling C Comments
Regex Headaches
A Na(:ive View
Unrolling the C Loop
The Freeflowing Regex
A Helping Hand to Guide the Match
A Well-Guided Regex is a Fast Regex
Wrapup
Think!
The Many Twists and Turns of Optimizations
Chapter 6. Tool-Specific Information
Questions You Should Be Asking
Something as Simple as Grep...
In This Chapter
Awk
Differences Among Awk Regex Flavors
Awk Regex Functions and Operators
Tcl
Tcl Regex Operands
Using Tcl Regular Expressions
Tcl Regex Optimizations
GNU Emacs
Emacs Strings as Regular Expressions
Emacs's Regex Flavor
Emacs Match Results
Benchmarking in Emacs
Emacs Regex Optimizations
Chapter 7. Perl Regular Expressions
The Perl Way
Regular Expressions as a Language Component
Perl's Greatest Strength
Perl's Greatest Weakness
A Chapter, a Chicken, and The Perl Way
An Introductory Example: Parsing CSV Text
Regular Expressions and The Perl Way
Perl Unleashed
Regex-Related Perlisms
Expression Context
Dynamic Scope and Regex Match Effects
Special Variables Modified by a Match
``Doublequotish Processing'' and Variable Interpolation
Perl's Regex Flavor
Quantifiers -- Greedy and Lazy
Grouping
String Anchors
Multi-Match Anchor
Word Anchors
Convenient Shorthands and Other Notations
Character Classes
Modification with Q and Friends: True Lies
The Match Operator
Match-Operand Delimiters
Match Modifiers
Specifying the Match Target Operand
Other Side Effects of the Match Operator
Match Operator Return Value
Outside Influences on the Match Operator
The Substitution Operator
The Replacement Operand
The /e Modifier
Context and Return Value
Using /g with a Regex That Can Match Nothingness
The Split Operator
Basic Split
Advanced Split
Advanced Split's Match Operand
Scalar-Context Split
Split's Match Operand with Capturing Parentheses
Perl Efficiency Issues
``There's More Than One Way to Do It''
Regex Compilation, the /o Modifier, and Efficiency
Unsociable $ and Friends
The Efficiency Penalty of the /i Modifier
Substitution Efficiency Concerns
Benchmarking
Regex Debugging Information
The Study Function
Putting It All Together
Stripping Leading and Trailing Whitespace
Adding Commas to a Number
Removing C Comments
Matching an Email Address
Final Comments
Notes for Perl4
Appendix A. Online Information
General Information
Mastering Regular Expressions
O'Reilly Associates
OAK Archive's Virtual Software Library
The GNU Archive
Yahoo!
Other Web Links
Awk
C Library Packages
Egrep
Emacs
Flex
Perl
Python
Tcl
Appendix B. Email Regex Program

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Mastering Regular Expressions, Regular expressions are a powerful tool for manipulating text and data. If you don't use them yet, you will discover in this book a whole new world of mastery over your data. If you already use them, you'll appreciate this book's unprecedented detail and , Mastering Regular Expressions

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