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Regular Expressions - Quick Reference
white space upper case letters. "word" characters hexadecimal digits. Regular Expressions - Quick Reference Guide http//www.e-texteditor.com. Replacements ...
Regular Expressions - of Cisco
This appendix explains regular expressions and how to use them in Cisco IOS software commands. It also provides details for composing regular expressions.
Regular Expressions 11
This chapter describes regular expression pattern matching and string ... The Tcl advanced regular expressions are almost identical to the Perl 5 regular ...
Regular Expressions Cheat Sheet
Lookahead assertion +. Negative lookahead +. Lookbehind assertion +. Negative lookbehind +. Once-only Subexpression. Condition [if then]. Condition [if then ...
Regular Expression Quick Reference v1.2
\S. Any non-whitespace. Equivalent to [^ \t\n\r\f\v] and [^[space]] Note \w != \S. Extended Regular Expression. \d. Any digit. Equivalent to [0-9] and [[digit]]. (?#...) ...
– Perl Regular Expressions Tip Sheet
Perl Regular Expressions Tip Sheet. Functions and Call Routines regex-id = prxparse(perl-regex). Compile Perl regular expression perl-regex and ...
265-29 An Introduction to Perl Regular Expressions in SAS 9
Perl regular expressions were added to SAS in Version 9. SAS regular ... Both SAS regular expressions (the RX functions) and Perl regular expressions (the ...
Regular Expressions for Google Analytics
a story about Regular People and Regular Expressions . . . When I first starting working with Google. Analytics, I was an analyst. A marketing person.
A Play on Regular Expressions
for matching regular expressions (i) the program is purely func- tional; (ii) it is ... regular expressions into finite automata which makes it efficient both in terms of ...
Pharo by Example
Regular expressions are widely used in many scripting languages such as. Perl, Python ... We will use regular expressions (i) to identify HTML files, (ii) to strip ...
Regular-expression derivatives reexamined
strings, i.e., sets defined by regular expressions (REs), the derivative is also a ... His approach is elegant and easily supports extended regular expressions; i.e., ...
Perl Regular Expression Quick Reference 1.05
One-page document containing tabulated summaries of common codes, modifiers, and special characters.
Introducing Oracle Regular Expressions
History of Regular Expressions...................................................................4. Traditional ... Oracle Regular Expressions Key Features .....................................................8 ...
Regular Expressions
Using Regular Expressions in the D2L Quizzing. Tool. Version 1.1 ... Regular expressions are used in the D2L Learning platform Quizzing tool. Using regular ...
Efficient submatch addressing for regular expressions
Master's thesis of Ville Laurikari, Helsinki University of Technology.
SWYN A Visual Representation for Regular Expressions
By Alan F. Blackwell of the University of Cambridge.
Regular Expressions - blob.perl.org blob.perl.org
Regular expressions allow us look for patterns in our data. ... However, regular expressions are a very big area – they're one of the most powerful features of ...
From Regular Expressions to DFA's Using Compressed NFA's
2.3 The tail of an MYNNFA equivalent to regular expression ajb abb .... tomata from regular expressions is of central importance to the compilation ...
Regular Languages and Regular Expressions According to our ...
Regular Languages and Regular Expressions. According to our definition, a language is regular if there exists a finite state automaton that accepts it. Therefore ...
Using regular expressions for data management in Stata
Regular expressions are not the solution to every problem involving strings. In most cases the built in string functions in Stata will do at least as good a job, with ...

If you’re a programmer new to regular expressions, this easy-to-follow guide is a great place to start. You’ll learn the fundamentals step-by-step with the help of numerous examples, discovering first-hand how to match, extract, and transform text by matching specific words, characters, and patterns.

Regular expressions are an essential part of a programmer’s toolkit, available in various Unix utlilities as well as programming languages such as Perl, Java, JavaScript, and C#. When you’ve finished this book, you’ll be familiar with the most commonly used syntax in regular expressions, and you’ll understand how using them will save you considerable time.

  • Discover what regular expressions are and how they work
  • Learn many of the differences between regular expressions used with command-line tools and in various programming languages
  • Apply simple methods for finding patterns in text, including digits, letters, Unicode characters, and string literals
  • Learn how to use zero-width assertions and lookarounds
  • Work with groups, backreferences, character classes, and quantifiers
  • Use regular expressions to mark up plain text with HTML5

Take the guesswork out of using regular expressions. With more than 140 practical recipes, this cookbook provides everything you need to solve a wide range of real-world problems. Novices will learn basic skills and tools, and programmers and experienced users will find a wealth of detail. Each recipe provides samples you can use right away.

This revised edition covers the regular expression flavors used by C#, Java, JavaScript, Perl, PHP, Python, Ruby, and VB.NET. You’ll learn powerful new tricks, avoid flavor-specific gotchas, and save valuable time with this huge library of practical solutions.

  • Learn regular expressions basics through a detailed tutorial
  • Use code listings to implement regular expressions with your language of choice
  • Understand how regular expressions differ from language to language
  • Handle common user input with recipes for validation and formatting
  • Find and manipulate words, special characters, and lines of text
  • Detect integers, floating-point numbers, and other numerical formats
  • Parse source code and process log files
  • Use regular expressions in URLs, paths, and IP addresses
  • Manipulate HTML, XML, and data exchange formats
  • Discover little-known regular expression tricks and techniques

This handy little book offers programmers a complete overview of the syntax and semantics of regular expressions that are at the heart of every text-processing application. Ideal as a quick reference, Regular Expression Pocket Reference covers the regular expression APIs for Perl 5.8, Ruby (including some upcoming 1.9 features), Java, PHP, .NET and C#, Python, vi, JavaScript, and the PCRE regular expression libraries.

This concise and easy-to-use reference puts a very powerful tool for manipulating text and data right at your fingertips. Composed of a mixture of symbols and text, regular expressions can be an outlet for creativity, for brilliant programming, and for the elegant solution. Regular Expression Pocket Reference offers an introduction to regular expressions, pattern matching, metacharacters, modes and constructs, and then provides separate sections for each of the language APIs, with complete regex listings including:

  • Supported metacharacters for each language API
  • Regular expression classes and interfaces for Ruby, Java, .NET, and C#
  • Regular expression operators for Perl 5.8
  • Regular expression module objects and functions for Python
  • Pattern-matching functions for PHP and the vi editor
  • Pattern-matching methods and objects for JavaScript
  • Unicode Support for each of the languages
With plenty of examples and other resources, Regular Expression Pocket Reference summarizes the complex rules for performing this critical text-processing function, and presents this often-confusing topic in a friendly and well-organized format. This guide makes an ideal on-the-job companion.

RegEx is supported in all major development environments (for use in editing and working with code) and will thus appeal to anyone using these tools. In addition, every JavaScript developer should be using RegEx, but most don't as it has never been taught to them properly before. Developers using ASP, C#, ColdFusion, Java JSP, PHP, Perl, Python, and more can (and should) be using RegEx, and so every one of them is a potential reader too. The reader of this book will learn how to:

  • Match characters sets
  • Match repeating characters (using minimums and maximums if needed)
  • Match (or ignore) based on case
  • Build sub-expressions
  • Use all of the special characters
  • Work with excape sequences
  • Use POSIX classes to simplify complex expressions
  • Use back-references
  • Use look-behind operators

Sams Teach Yourself Regular Expressions in 10 Minutes is a tutorial book organized into a series of easy-to-follow 10-minute lessons. These well targeted lessons teach you in 10 minutes what other books might take hundreds of pages to cover. Instead of dwelling on syntax, terminology, and arcane examples and scenarios, this book takes a very hands-on approach to solving the needs of the majority of RegEx users who simply need to manipulate data.

This book introduces the various parts of the construction of a regular expression pattern, explains what they mean, and walks you through working examples showing how they work and why they do what they do. By working through the examples, you will build your understanding of how to make regular expressions do what you want them to do and avoid creating regular expressions that don’t meet your intentions.
Beginning chapters introduce regular expressions and show you a method you can use to break down a text manipulation problem into component parts so that you can make an intelligent choice about constructing a regular expression pattern that matches what you want it to match and avoids matching unwanted text.
To solve more complex problems, you should set out a problem definition and progressively refine it to express it in English in a way that corresponds to a regular expression pattern that does what you want it to do.
The second part of the book devotes a chapter to each of several technologies available on the Windows platform. You are shown how to use each tool or language with regular expressions (for example, how to do a lookahead in Perl or create a named variable in C#).
Regular expressions can be useful in applications such as Microsoft Word, OpenOffice.org Writer, Microsoft Excel, and Microsoft Access. A chapter is devoted to each.
In addition, tools such as the little-known Windows findstr utility and the commercial PowerGrep tool each have a chapter showing how they can be used to solve text manipulation tasks that span multiple files.
The use of regular expressions in the MySQL and Microsoft SQL Server databases are also demonstrated.
Several programming languages have a chapter describing the metacharacters available for use in those languages together with demonstrations of how the objects or classes of that language can be used with regular expressions. The languages covered are VBScript, Javascript, Visual Basic .NET, C#, PHP, Java, and Perl.
XML is used increasingly to store textual data. The W3C XML Schema definition language can use regular expressions to automatically validate data in an XML document. W3C XML Schema has a chapter demonstrating how regular expressions can be used with the xs:pattern element.
Chapters 1 through 10 describe the component parts of regular expression patterns and show you what they do and how they can be used with a variety of text manipulation tools and languages. You should work through these chapters in order and build up your understanding of regular expressions.
The book then devotes a chapter to each of several text manipulation tools and programming languages. These chapters assume knowledge from Chapters 1 through 10, but you can dip into the tool-specific and language-specific chapters in any order you want.

Regular expressions are an essential part of programming, but they sure are hard to come to grips with, aren’t they? Fortunately, we have the answer for you! Regular Expression Recipes provides you with all the open-source regular expressions you’ll ever need, and explains how to use each one. This way, you can learn by example, rather than muddling through countless pages of explanatory syntax.

Author Nathan A. Good includes syntax references only when necessary. Languages covered include Perl, PHP, grep, vim, Python, and shell. Web and applications developers, and system administrators will find the examples both accurate and relevant. And this book acts as a useful reference to keep handy for those moments when an answer is needed fast.

Table of Contents

  1. Words and Text
  2. URLs and Paths
  3. CSV and Tab-Delimited Files
  4. Formatting and Validating
  5. HTML and XML
  6. Coding and Using Commands
This thorough tutorial teaches you the complete regular expression syntax. Detailed examples and descriptions of how regular expressions work on the inside, give you a deep understanding enabling you to unleash their full power. Learn how to put your new skills to use with tools such as PowerGREP and EditPad Pro, as well as programming languages such as C#, Delphi, Java, JavaScript, Perl, PHP, Python, Ruby, Visual Basic, VBScript, and more.

For people who create and modify text files, sed and awk are power tools for editing. sed, awk, and regular expressions allow programmers and system administrators to automate editing tasks that need to be performed on one or more files, to simplify the task of performing the same edits on multiple files, and to write conversion programs.

The sed & awk Pocket Reference is a companion volume to sed & awk, Second Edition, Unix in a Nutshell, Third Edition, and Effective awk Programming, Third Edition. This new edition has expanded coverage of gawk (GNU awk), and includes sections on:

  • An overview of sed and awk?s command line syntax
  • Alphabetical summaries of commands, including nawk and gawk
  • Profiling with pgawk
  • Coprocesses and sockets with gawk
  • Internationalization with gawk
  • A listing of resources for sed and awk users
This small book is a handy reference guide to the information presented in the larger volumes. It presents a concise summary of regular expressions and pattern matching, and summaries of sed and awk.

Arnold Robbins, an Atlanta native now happily living in Israel, is a professional programmer and technical author and coauthor of various O'Reilly Unix titles. He has been working with Unix systems since 1980, and currently maintains gawk and its documentation.

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