Book Image

Mastering Python Regular Expressions

Book Image

Mastering Python Regular Expressions

Overview of this book

Regular expressions are used by many text editors, utilities, and programming languages to search and manipulate text based on patterns. They are considered the Swiss army knife of text processing. Powerful search, replacement, extraction and validation of strings, repetitive and complex tasks are reduced to a simple pattern using regular expressions. Mastering Python Regular Expressions will teach you about Regular Expressions, starting from the basics, irrespective of the language being used, and then it will show you how to use them in Python. You will learn the finer details of what Python supports and how to do it, and the differences between Python 2.x and Python 3.x. The book starts with a general review of the theory behind the regular expressions to follow with an overview of the Python regex module implementation, and then moves on to advanced topics like grouping, looking around, and performance. You will explore how to leverage Regular Expressions in Python, some advanced aspects of Regular Expressions and also how to measure and improve their performance. You will get a better understanding of the working of alternators and quantifiers. Also, you will comprehend the importance of grouping before finally moving on to performance optimization techniques like the RegexBuddy Tool and Backtracking. Mastering Python Regular Expressions provides all the information essential for a better understanding of Regular Expressions in Python.
Table of Contents (12 chapters)

Look ahead


The first type of look around mechanism that we are going to study is the look ahead mechanism. It tries to match ahead the subexpression passed as an argument. The zero-width nature of the two look around operations render them complex and difficult to understand.

As we know from the previous section, it is represented as an expression preceded by a question mark and an equals sign, ?=, inside a parenthesis block: (?=regex).

Let's start tackling this by comparing the result of the two similar regular expressions. We can recall that in Chapter 1, Introducing Regular Expressions, we matched the expression /fox/ to the phrase The quick brown fox jumps over the lazy dog. Let's also apply the expression /(?=fox)/ to the same input:

>>>pattern = re.compile(r'fox')
>>>result = pattern.search("The quick brown fox jumps over the lazy dog")
>>>print result.start(), result.end()
16 19

We just searched the literal fox in the input string, and just as expected we have...