Python regular expression is a special character sequence that can help you easily check whether a string matches a certain pattern. This article will explain Python regular expression in detailTell youRegular expressions are used a lot in python because they can perform any matching and match the information we want to extract. When we come into contact with Python regular, you will know the power of regularity. There is a regular library re. In some projects, we often call the regular library to solve matching-related problems.
Strings are the most commonly used data structure in programming, and the need to operate on strings is almost everywhere. For example, to determine whether a string is a legal email address, although you can programmatically extract the substrings before and after @, and then determine whether it is a word and a domain name, this is not only troublesome, but also difficult to reuse the code.
Regular expression is a powerful weapon used to match strings. Its design idea is to use a descriptive language to define a rule for a string. Any string that conforms to the rule is considered to "match". Otherwise, the string is illegal.
So the way we judge whether a string is a legal Email is:
1. Create a regular expression that matches Email;
2. Use this regular expression Formula to match the user's input to determine whether it is legal.
Because regular expressions are also represented by strings, we must first understand how to use characters to describe characters.
In regular expressions, if characters are given directly, it is an exact match. Use \d to match a number, \w to match a letter or number, so:
• '00\d' can match '007', but cannot match '00A';
• '\d\d\d' can match '010';
• '\w\w\d' can match 'py3' ;
.
can match any character, so:
• 'py.' can match 'pya', 'pyb', 'py!' and so on.
To match variable-length characters, in regular expressions, use * to represent any number of characters (including 0), use to represent at least one character, use ? to represent 0 or 1 characters, and use {n } represents n characters, and {n,m} represents n-m characters:
Let’s look at a complex example: \d{3}\s \d{3,8}.
Let’s interpret it from left to right:
1. \d{3} means matching 3 numbers, such as '010';
2. \s can match a space (including tab and other whitespace characters), so \s means there is at least one space, such as matching ' ', ' ', etc.;
3. \d{3,8} represents 3-8 numbers, such as '1234567'.
Taken together, the above regular expression can match phone numbers with area codes separated by any number of spaces.
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