First, use RegexBuddy to define a regex or retrieve a regexp saved in a RegexBuddy library. Rely on RegexBuddy's clear regex analysis, which is constantly updated as you build the pattern, rather than dealing with the cryptic regex syntax on your own. Detailed help on that syntax is always only a click away.
If you copied a regex written for another programming language, simply paste it into RegexBuddy, select the original language, and then convert the regex to the specific version of Python you're using. If you're writing a Python module that needs to work with multiple versions of Python, compare your regex between those Python versions to make sure it will work exactly the same with all of them. RegexBuddy knows exactly which regex features are available in Python 2.4 through Python 3.6. By default, Python 2.7 and 3.6 are available directly in the drop-down list with applications. You can access other Python versions via the "More applications and languages" choice.
If you created a new regular expression, test and debug it in RegexBuddy before using it in your Python source code. Test each regex in RegexBuddy's safe sandbox without risking precious data. Quickly apply the regex to a wide variety of input and sample data, without having to produce that input through your script.
Finally, let RegexBuddy generate a source code snippet that you can copy and paste directly into whichever IDE or Python code editor you use. Just choose what you want to use the regex for, and a fully functional code snippet is ready. You can change the names of variables and parameters to suit your naming style or the current situation, which RegexBuddy automatically remembers.
Don't bother trying to remember which functions to call or which parameters to pass. And don't worry about properly escaping backslashes and quotes. Just tell RegexBuddy what you want to do, and you will get the proper Python code straight away. Anything can be done: testing a string for a match, extracting search matches, validating input, search-and-replace, splitting a string, etc.
|Using regular expressions with Python’s re module|