Python Regular Expressions

1. The regular expression base 1.1. Simple Introduction

Regular expressions are not part of Python. Regular expressions are powerful tools for working with strings, with their own unique syntax and an independent processing engine, which may not be as efficient as Str's own approach, but very powerful. Thanks to this, in the language that provides the regular expression, the syntax of the regular expression is the same, except that the number of grammars supported by different programming languages is different; but don't worry, the unsupported syntax is usually the less common part. If you've already used regular expressions in other languages, simply take a look and get started.

The approximate matching process for regular expressions is to take out the expression and compare the characters in the text, and if each character matches, the match succeeds; If a match is unsuccessful, the match fails. If there are quantifiers or boundaries in an expression, the process can be slightly different, but it is also well understood, with examples of fancy and a few more times you can understand them.

. ==>

\ ==>

[] ==>

\d ==>

\d ==>

\s ==>

\s ==>

Python Regular Expressions