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Index
Mastering Python Regular Expressions
Table of Contents
Mastering Python Regular Expressions
Credits
About the Authors
About the Reviewers
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Preface
What this book covers
What you need for this book
Who this book is for
Conventions
Reader feedback
Customer support
Downloading the example code
Errata
Piracy
Questions
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
2. Regular Expressions with Python
A brief introduction
Backslash in string literals
String Python 2.x
Building blocks for Python regex
RegexObject
Searching
match(string[, pos[, endpos]])
search(string[, pos[, endpos]])
findall(string[, pos[, endpos]])
finditer(string[, pos[, endpos]])
Modifying a string
split(string, maxsplit=0)
sub(repl, string, count=0)
subn(repl, string, count=0)
MatchObject
group([group1, …])
groups([default])
groupdict([default])
start([group])
end([group])
span([group])
expand(template)
Module operations
escape()
purge()
Compilation flags
re.IGNORECASE or re.I
re.MULTILINE or re.M
re.DOTALL or re.S
re.LOCALE or re.L
re.UNICODE or re.U
re.VERBOSE or re.X
re.DEBUG
Python and regex special considerations
Differences between Python and other flavors
Unicode
What's new in Python 3
Summary
3. Grouping
Introduction
Backreferences
Named groups
Non-capturing groups
Atomic groups
Special cases with groups
Flags per group
yes-pattern|no-pattern
Overlapping groups
Summary
4. Look Around
Look ahead
Negative look ahead
Look around and substitutions
Look behind
Negative look behind
Look around and groups
Summary
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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