| Matches characters from a to z and also from 0 to 9. | Matches a or -, because - is not being used to indicate a series of characters. | Contains a set of characters to match. \Z | Matches the expression to its left at the absolute end of a string whether in single or multi-line mode. \A | Matches the expression to its right at the absolute start of a string whether in single or multi-line mode. \B | Matches where \b does not, that is, the boundary of \w characters. \b | Matches the boundary (or empty string) at the start and end of a word, that is, between \w and \W. \s | Matches whitespace characters, which include the \t, \n, \r, and space characters. \w | Matches alphanumeric characters, which means a-z, A-Z, and 0-9. ? | Matches the expression to its left m times, and ignores n. But if ? is added to qualifiers ( +, *, and ? itself) it will perform matches in a non-greedy manner. ? | Greedily matches the expression to its left 0 or 1 times. * | Greedily matches the expression to its left 0 or more times. + | Greedily matches the expression to its left 1 or more times. If A is matched first, B is left untried. \ | Escapes special characters or denotes character classes.Ī|B | Matches expression A or B. | Matches any character except line terminators like \n. It matches every such instance before each \n in the string. $ | Matches the expression to its left at the end of a string. ^ | Matches the expression to its right at the start of a string. Regular Expressions for Data Science (PDF)ĭownload the regex cheat sheet here Special Characters If you’re interested in learning Python, we have free-to-start interactive Beginner and Intermediate Python programming courses you should check out. This regex cheat sheet is based on Python 3’s documentation on regular expressions. While at Dataquest we advocate getting used to consulting the Python documentation, sometimes it’s nice to have a handy PDF reference, so we’ve put together this Python regular expressions (regex) cheat sheet to help you out! The tough thing about learning data science is remembering all the syntax.
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