We are a friendly and enthusiastic group of Central Ohio Pythonistas. We meet most Thursday evenings for informal dojos, occasionally for lunch on various days of the week, and have a monthly meeting usually on the last Monday of the month. To have lunch at your favorite place, announce the time and place on the mailing list.
After our monthly meetings we like to adjourn to Brazenhead to enjoy good food, good drinks, and good conversation.
We have code on our github repository, especially of challenges where people solved problems using Python in very different ways.
Usually on last Monday of each month.
We meet most Thursday evenings.
6:00 PM to 9:00 PM+
Smokehouse Brewing Company
1130 Dublin Rd
Columbus, OH 43215
Dojos are informal Python group study sessions. Complete beginners, experts, and everyone else are welcome to the Dojos. Bring your Python questions and problems. Digressions from Python are common.
Please bring outlet strips and extension cords.
September 24, 2018, 6:00 p.m.
18:00 Pillar Technology's 'The Forge' at the Smith Brothers' Hardware Building Do not park in front (south side) of the building or your car will be towed. Instead park on the north side of the building.
20:00 Brazenhead Irish Pub
This month, Michael Burton, Associate Professor at Ohio University, will be talking about the foundations of data science and machine learning.
Python is becoming a go-to language for data science and machine learning. Mike's presentation talks about a critical part of model generation: quality assessment. When you start digging into Python applications for machine learning you will see performance metrics like 'sensitivity', 'specificity', and 'positive predictive value', along with 'Receiver Operator Characteristic curves', all of which seek deeper levels of quality than simple accuracy. This session will demonstrate how a few statistical insights can greatly improve your understanding of algorithmically generated models.
Afterwards we'll be heading to Brazenhead on Fifth Ave.
Please RSVP so our generous host knows how much pizza to order.