Just a general note to everyone.  I’ll post this also in #programming but tomorrow afternoon at the UI App Dev Community, I’m going to
talk about the meetups for Functional Programming and R.  This is kinda how I think it’ll be setup.

[10:55]  
I think there will be 2 separate meetups that will cover the same theme.  For now, I’d like to keep both groups together.  We had a lot
of support for combined groups, although a good number of people were interested in only R or FP (but not both).

[10:56]  
One meetup will likely take place, at lunch, one time a week at the university.  A large portion of the population are from the UI and
this time was very strongly requested.  I think that particular meetup event will be an hour long, since it impacts people’s work day.

[10:57]  
The other meetup will likely be in North Liberty, or Cedar Rapids.  Cedar rapids has some definite interest, but I haven’t yet determined
if most/all can make it to North Liberty or not.  This particular meetup will likely be at night during a weekday, or in the afternoon on
a weekend.  Weekend afternoons were really well requested, which surprised me.

[10:58]  
That particular meetup will likely be formatted similar to other meetups.  Lasting 2-2.5 hours or so, and will likely have a heavy
component on working through Project Euler or other similar types of problems.  That also was requested quite  abit.

[11:00]  
For both meetups, it’ll be a combination of R and FP to start with, and will try and make it roughly 50/50 on discussions on it.  For the
project euler/etc type problems, using R or a FP programming language (of one’s choice) and going over one’s solutions in more a code
review-like format.  I haven’t thought that far ahead yet.  Since I’m under a deadline of some slides/info on this all by tomorrow
afternoon, I’m focusing mostly on the meetup at the UI.

[11:01]  
If there are any questions, feel free to post them here.  I’m probably going to make an anonymized version of the results available for
download, and will likely do some analysis in R for the graphing/reporting.