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)

Summary


In this final chapter, we have started learning the relevance of optimization and why we should avoid premature optimization by measuring. Then, we jumped into the topic of measuring by learning different mechanisms to measure the time of execution for our regular expressions. Later, we found out about the RegexBuddy tool that can help us to understand how the engine is doing its work and aiding us in pinpointing the performance problems.

Later on, we understood how to see the engine working behind the scenes. We learned some theory of the engine design and how it's easy to fall in a common pitfall—the catastrophic backtracking.

Finally, we reviewed different general recommendations to improve the performance of our regular expressions.