First Roc.py meetup for Advanced FOSS

by Lance Laughlin

Now I’m not a nooby when it comes to Roc.py. We went as a class every month for our HFOSS (Humanitarian Free & Open Source Software) class last semester. This semester we are rollin’ deep with both this semester’s HFOSS class as well as our Adv FOSS class, totaling about 20 people. This month was pretty beneficial for the HFOSS class as the first hour was about data structures and basic programming logic in Python. I feel like this would have been super helpful for our HFOSS class last semester because about 85% of the class had zero Python knowledge going in. Our class did manage to pick up Python over the course of the semester; however, I really feel like we could have done so much more with our projects had we had a mini-seminar like this. We did get a pretty awesome guest lecture from Threebean though which personally helped clear up a few things for me.

Aside from the intro to Python we had an hour at the end to give lightening talks to the group. Most of the Advanced FOSS students gave lightening talks about our first project for the class. I’m working on a group project with Chris Knepper and Dustin Raimondi which will help people decide whether a wallpaper is suitable for their machine. You can check out our project proposal here: https://explosivehippo.wordpress.com/2014/02/14/project-1-proposal/. I thought our lightening talk went okay; unfortunately, we only have a proposal at the moment so we couldn’t talk about too much. I felt like the presentation was sort of boring because it was 3 people talking about something very basic and likely would have went better with a bit more content or with less people presenting: live and learn. Check out our presentation here: https://docs.google.com/presentation/d/1mH0QgzZKVazCb-UFEWgMTs_4yy9toaOR9le2bYndP5Q/

Of the other lightening talks for Advanced FOSS projects I must say that I really really like Lindsey Ellis (Fangy) and Joe Prezioso (ArcticSphynx) project. It’s a dog tracker that emails people when their dog(s) are being noisy. I like this idea because it’s very practical and really perfect for the Raspberry Pi. This has inspired me to do something more Pi-centric for the next project rather than something that is simply written in Python and ran on the Pi.

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