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This article mainly introduces "case analysis of the use of Python regular expressions". In daily operation, I believe that many people have doubts about the use of Python regular expressions. The editor has consulted all kinds of materials and sorted out simple and easy-to-use operation methods. I hope it will be helpful to answer the doubts of "Python regular expressions use case analysis". Next, please follow the editor to study!

Regular expression instance character matching instance description python matches "python". The character class instance describes that [Pp] ython matches "Python" or "python" rub [ye] matches "ruby" or "rube" [aeiou] matches any letter [0-9] in parentheses matches any number. Similar to [0123456789] [Amurz] match any lowercase letter [Amurz] match any uppercase letter [a-zA-Z0-9] match any letter and number [^ aeiou] all characters except aeiou letters [^ 0-9] match special character class instance description except numbers. Matches any single character except "\ n". To match any character, including'\ n', use a pattern like'[.\ n]'. \ d matches a numeric character. Equivalent to [0-9]. \ D matches a non-numeric character. Equivalent to [^ 0-9]. \ s matches any white space characters, including spaces, tabs, page breaks, and so on. Equivalent to [\ f\ n\ r\ t\ v]. \ s matches any non-white space character. Equivalent to [^\ f\ n\ r\ t\ v]. \ w matches any word characters that include underscores. Equivalent to'[A-Za-z0-9]'. \ W matches any non-word characters. Equivalent to'[^ A-Za-z0-9]'. At this point, the study on "Python regular expression use case analysis" is over. I hope to be able to solve your doubts. The collocation of theory and practice can better help you learn, go and try it! If you want to continue to learn more related knowledge, please continue to follow the website, the editor will continue to work hard to bring you more practical articles!

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