Regular expression (also abbreviated to regex) really is a powertool any programmer should know. It was and is one of the things I most liked learning, as it provides you with immediate, godlike powers that can speed up your (data science) workflow tenfold.

I’ve covered many regex related topics on this blog already, but thought I’d combine them and others in a nice curated overview — for myself, and for you of course, to use.

If you have any materials you liked, but are missing, please let me know!

Contents

• Introduction & Learning
• Language-specific Resources
• Debugging & Testing
• Fun

Introduction & Learning

Reading

• https://github.com/ziishaned/learn-regex
• https://www.oreilly.com/content/an-introduction-to-regular-expressions/
• https://ryanstutorials.net/regular-expressions-tutorial/

Tutorials (interactive)

• https://regexone.com/
• https://www.hackerrank.com/domains/regex?filters%5Bsubdomains%5D%5B%5D=re-introduction

Video

Corey Shafer

The Coding Train

Language-specific

Python

• https://www.python-course.eu/re.php
• https://docs.python.org/2/howto/regex.html
• https://docs.python.org/2/library/re.html
• https://developers.google.com/edu/python/regular-expressions

Corey Shafer

R

• https://stringr.tidyverse.org/articles/regular-expressions.html
• https://paulvanderlaken.com/2017/10/03/regular-expressions-in-r-part-1-introduction-and-base-r-functions/

Roger Peng

Testing & Debugging

debuggex.com

regex101.com

regextester.com | regexpal.com

regexr.com

rubular.com

pythex.com

Fun

• Regular expression crosswords