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Regex Quick Syntax Reference: Understanding and Using Regular Expressions

Autor Zsolt Nagy
en Limba Engleză Paperback – 18 aug 2018
This quick guide to regular expressions is a condensed code and syntax reference for an important programming technique. It demonstrates regex syntax in a well-organized format that can be used as a handy reference, showing you how to execute regexes in many languages, including JavaScript, Python, Java, and C#.

The Regex Quick Syntax Reference features short, focused code examples that show you how to use regular expressions to validate user input, split strings, parse input, and match patterns. Utilizing regular expressions to deal with search/replace and filtering data for backend coding is also covered. 

You won’t find any bloated samples, drawn out history lessons, or witty stories in this book. What you will find is a language reference that is concise and highly accessible. The book is packed with useful information and is a must-have for any programmer.

What You Will Learn
  • Formulate an expression
  • Work with arbitrary char classes, disjunctions, and operator precedence
  • Execute regular expressions and visualize using finite state machines
  • Deal with modifiers, including greedy and lazy loops 
  • Handle substring extraction from regex using Perl 6 capture groups, capture substrings, and reuse substrings 
Who This Book Is For

If you have dealt with at least one programming language, chances are you know enough to understand regular expressions, and the examples in this book will help you develop proficiency.

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Specificații

ISBN-13: 9781484238752
ISBN-10: 1484238753
Pagini: 90
Ilustrații: XI, 153 p. 20 illus.
Dimensiuni: 155 x 235 x 15 mm
Greutate: 0.45 kg
Ediția:1st ed.
Editura: Apress
Colecția Apress
Locul publicării:Berkeley, CA, United States

Cuprins

1. An Introduction to Regular Expressions.- 2. Regex Syntax 101.- 3. Executing Regular Expressions.- 4. Visualizing Regex Execution using Finite State Machines.- 5. Repeat modifiers.- 6. Character Sets and Character Classes.- 7. Substring Extraction from Regular Expressions.- 8. Lookahead and Lookbehind.- 9. Maintaining Regular Expressions.- 10. Optimizing regular expressions.- 11. Parsing HTML Code and URL Query Strings with Regular Expressions.- Afterword: This is not the end, but the beginning.

Notă biografică

Zsolt Nagy is a web development team lead, mentor and software engineer living in Berlin, Germany. He programs with JavaScript, Perl and other open source web technologies. Zsolt is also experienced in using and teaching regular expressions using these technologies. He writes a blog about lessons learned while solving complex problems, experimenting with technology and teaching other people on how to improve their skills. As a software engineer, he continuously challenges himself to stick to the highest possible standards.

Textul de pe ultima copertă

This quick guide to regular expressions is a condensed code and syntax reference for an important programming technique. Using JavaScript and Perl 6 code, it demonstrates regex syntax in a well-organized format that can be used as a handy reference.

The Regex Quick Syntax Reference features short, focused code examples that show you how to use regular expressions to validate user input, split strings, parse input, and match patterns. Utilizing regular expressions to deal with search/replace and filtering data for backend coding is also covered. 

You won’t find any bloated samples, drawn out history lessons, or witty stories in this book. What you will find is a language reference that is concise and highly accessible. The book is packed with useful information and is a must-have for any programmer.

You will:
  • Formulate an expression
  • Work with arbitrary charclasses, disjunctions, and operator precedence
  • Execute regular expressions and visualize using finite state machines
  • Deal with modifiers, including greedy and lazy loops 
  • Handle substring extraction from regex using Perl 6 capture groups, capture substrings, and reuse substrings 

Caracteristici

A compact, handy quick reference to get you started and using regular expressions fast A contemporary guide that takes into account today's challenges from big data and data science Covers front end, backend and IT infrastructure