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- 110pages
- 4 heures de lecture
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Regular expressions are essential tools used in text editors, utilities, and programming languages for searching and manipulating text based on patterns. They simplify complex tasks like search, replacement, extraction, and validation into manageable patterns. This guide will teach you the fundamentals of Regular Expressions, focusing on their application in Python, while also highlighting differences between Python 2.x and 3.x. The book begins with an overview of the theory behind regular expressions, followed by a detailed examination of the Python regex module. It progresses to advanced topics such as grouping, lookarounds, and performance optimization. You will learn to leverage Regular Expressions effectively in Python, explore advanced features, and understand the workings of alternators and quantifiers. The importance of grouping is emphasized, along with techniques for improving performance, including the use of tools like RegexBuddy and strategies for managing backtracking. This concise guide is designed for Python developers looking to enhance their skills with Regular Expressions. A basic understanding of Python is recommended for optimal comprehension.
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Mastering Python Regular Expressions, Felix Lopez, Víctor Romero
- Langue
- Année de publication
- 2014
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- (souple)
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- Titre
- Mastering Python Regular Expressions
- Langue
- Anglais
- Auteurs
- Felix Lopez, Víctor Romero
- Éditeur
- Packt Publishing
- Publié
- 2014
- Format
- souple
- Pages
- 110
- ISBN10
- 1783283157
- ISBN13
- 9781783283156
- Séries
- Mots clés
- Nonfiction, Manuels, Technologie & Ingénierie, Manuels et guides, Informatique & Internet, Technologie
- Évaluation
- 3,7 sur 5
- Description
- Regular expressions are essential tools used in text editors, utilities, and programming languages for searching and manipulating text based on patterns. They simplify complex tasks like search, replacement, extraction, and validation into manageable patterns. This guide will teach you the fundamentals of Regular Expressions, focusing on their application in Python, while also highlighting differences between Python 2.x and 3.x. The book begins with an overview of the theory behind regular expressions, followed by a detailed examination of the Python regex module. It progresses to advanced topics such as grouping, lookarounds, and performance optimization. You will learn to leverage Regular Expressions effectively in Python, explore advanced features, and understand the workings of alternators and quantifiers. The importance of grouping is emphasized, along with techniques for improving performance, including the use of tools like RegexBuddy and strategies for managing backtracking. This concise guide is designed for Python developers looking to enhance their skills with Regular Expressions. A basic understanding of Python is recommended for optimal comprehension.