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Mastering Python regular expressions : leverage regular expressions in Python even for the most complex features /

A short and straight to the point guide that explains the implementation of Regular Expressions in Python. This book is aimed at Python developers who want to learn how to leverage Regular Expressions in Python. Basic knowledge of Python is required for a better understanding.

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: López, Félix
Otros Autores: Romero, Víctor
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Birmingham, UK : Packt Pub., 2014.
Colección:Community experience distilled.
Temas:
Acceso en línea:Texto completo
Texto completo

MARC

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245 1 0 |a Mastering Python regular expressions :  |b leverage regular expressions in Python even for the most complex features /  |c Félix López, Víctor Romero. 
260 |a Birmingham, UK :  |b Packt Pub.,  |c 2014. 
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500 |a Includes index. 
520 |a A short and straight to the point guide that explains the implementation of Regular Expressions in Python. This book is aimed at Python developers who want to learn how to leverage Regular Expressions in Python. Basic knowledge of Python is required for a better understanding. 
505 0 |a Cover; Copyright; Credits; About the Authors; About the Reviewers; www.PacktPub.com; Table of Contents; Preface; Chapter 1: Introducing Regular Expressions; History, relevance, and purpose; The regular expression syntax; Literals; Character classes; Predefined character classes; Alternation; Quantifiers; Greedy and reluctant quantifiers; Boundary Matchers; Summary; Chapter 2: Regular Expressions with Python; A brief introduction; Backslash in string literals; String Python 2.x; Building blocks for Python regex; RegexObject; Searching; Modifying a string; MatchObject; group([group1 ...]) 
505 8 |a Overlapping groupsSummary; Chapter 4: Look Around; Look ahead; Negative look ahead; Look around and substitutions; Look behind; Negative look behind; Look around and groups; Summary; Chapter 5: Performance of Regular Expressions; Benchmarking regular expressions with Python; The RegexBuddy tool; Understanding the Python regex engine; Backtracking; Optimization recommendations; Reuse compiled patterns; Extract common parts in alternation; Shortcut to alternation; Use non-capturing groups when appropriate; Be specific; Don't be greedy; Summary; Index 
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