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Learning Regular Expressions, Web Edition

Web Edition

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  • About this Web Edition
  • A Web Edition is an online learning product that you view in your web browser. Some Web Editions include additional interactive features, such as videos and quizzes. A Web Edition will be accessible from your Account page after purchase.

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Description

  • Copyright 2018
  • Pages: 144
  • Edition: 1st
  • Web Edition
  • ISBN-10: 0-13-523976-1
  • ISBN-13: 978-0-13-523976-6

Learn to use one of the most powerful text processing and manipulation tools available
Regular expression experts have long been armed with an incredibly powerful tool, one that can be used to perform all sorts of sophisticated text processing and manipulation in just about every language and on every platform. That’s the good news. The bad news is that for too long, regular expressions have been the exclusive property of only the most tech savvy. Until now.
Ben Forta's Learning Regular Expressions teaches you the regular expressions that you really need to know, starting with simple text matches and working up to more complex topics, including the use of backreferences, conditional evaluation, and look-ahead processing. You’ll learn what you can use, and you’ll learn it methodically, systematically, and simply.
Regular expressions are nowhere near as complex as they appear to be at first glance. All it takes is a clear understanding of the problem being solved and how to leverage regular expressions to solve them.

  • Read and understand regular expressions
  • Use literal text and metacharacters to build powerful search patterns
  • Take advantage of advanced regular expression features, including lookahead and backreferences
  • Perform powerful search-and-replace operations in all major professional editing tools
  • Add sophisticated form and text processing to web applications
  • Search for files using command-line tools like grep and egrep
  • Use regular expressions in programming languages like JavaScript, Java, PHP, Python, Microsoft .NET, and C#, as well as in DBMSs including MySQL and Oracle
  • Work with phone numbers, postal codes, social security numbers, IP addresses, URLs, email addresses, and credit card numbers
Contents at a Glance
1 Introducing Regular Expressions2 Matching Single Characters3 Matching Sets of Characters4 Using Metacharacters5 Repeating Matches6 Position Matching7 Using Subexpressions8 Using Backreferences9 Looking Ahead and Behind10 Embedding Conditions11 Regular Expression Solutions to Common Problems
Appendix A Regular Expressions in Popular Applications and Languages

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