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Regular Expressions Workshop

About Me

Erich Purpur

Research Librarian for Science & Engineering
[email protected]
Brown Science & Engineering Library room I046

I'm a part of a group called research data services and I do these things:

1. Serve as Liaison to various engineering departments
2. Teach workshops and classes (like this one)
3. Help people with research projects
4. Random other things as they come up

Welcome to the UVA Library

** Regular Expressions **

A regular expression (shortened as regex or regexp also referred to as rational expression) is a sequence of characters that specifies a search pattern in text. Usually such patterns are used by string-searching algorithms for "find" or "find and replace" operations on strings, or for input validation. It is a technique developed in theoretical computer science and formal language theory.

Regular expressions can be used in most if not all programming languages. They are like a mini-language in themselves. While they can be somewhat difficult to read, with a little practice they are not overly complicated.

Note of interest

Because regular expressions are language agnostic, I have provided examples of how to use them for both Python (regularexpressions.ipynb) and R (regularexpressions.rmd). I am not an R user so I did my best to translate the python examples to R. The regular expressions themselves between the two languages are nearly identical, so you can translate from one language to another. I am sure my R code is not good so please cut me some slack!

** Self Help **

You don't need to remember all this

Corey Schafer Youtube

Corey Schafer Regular Expressions

Corey Schafer Python re Module

I heavily used these youtube videos to create this workshop. I used these when I was first learning regular expressions. Regular Expressions are not something I use regularly so every time I needd to use them, I refer to these videos. I more or less re-created these youtube tutorials for this workshops because I didn't think I could do any better! These videos are very clearly explained and easy to follow. I highly recommend them.

Stack Overflow

StackOverflow is a huge user community Q&A type site. Odds are very high that someone has asked your question before, just google something like "how to make scatter plot matlplotlib python". I'm pretty certain a StackOverflow thread will be one of the first few search results

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  • Jupyter Notebook 93.0%
  • R 7.0%