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 some nearby eatery 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 are looking for presenters. What presentation would you like to give? Please tell us here in this form.
We meet most Thursday evenings:
Dojos are informal Python group study sessions where everyone interested in Python gathers to learn about Python, help others with Python or just hang out. Everyone interested in Python from complete beginners, to experts, and everyone in between are welcome to the Dojos. Bring your Python questions and problems. Digressions from Python are common.
Please bring your laptop and power supply. Power strips will be available. Reach us on our socials at:June 29, 2026, 6:00 p.m.
ImprovingThis month Chris Pazsint will be talking about Agentic Coding. How does one use CLI Based Agents, and Agentic IDEs such as Cursor, Kiro, Antigravity?
July 27, 2026, 6:00 p.m.
ImprovingIn this session, we will explore the concept of hyperdimensional computing (HDC), a brain-inspired method of computing. We'll begin by talking about neurons and the brain. Through simple Python examples we’ll dive into HDC and answer: What it is? How does it work? And, how does it learn? We will review how other researchers have applied HDC and demonstrate how it can be used for solving cybersecurity tasks. Where deep learning fails, HDC excels. No supercomputer? No problem. HDC offers interpretability, low energy requirements, robustness to errors, online learning, on-device learning, and more. By pushing the difficult calculations into the embedding process, learning becomes a cinch. By the end of this talk, attendees will have everything they need to teach their own hyperdimensional computing models.