Thu, May 11 2023 at 06:30 PM at Tegus
(30 Minutes)
By: Eve Qiao and Raymond Berg
Experience Level: Novice
Eve and Ray embarked on a two week experiment they're calling a Learning Sprint. 4 hours a day, 5 days a week over two weeks they set goals and executed on them. What did they learn? Did it work? What fun facts did they pick up along the way? They'll explain in their thrilling talk for all skill levels.
(20 Minutes)
By: Andrew Wingate
Experience Level: Novice
A deep dive into what actually happens when you're interfacing with gpio pins at the hardware and register level in micropython
By: Phil Robare
Experience Level: Intermediate
How does the elipses work? Let's find out.
Thu, Mar 09 2023 at 06:30 PM at Molex
(20 Minutes)
By: Heather White
Experience Level: Advanced
AttributeError: property has no setter. But... I thought this was Python!
Let's have a talk about descriptors.
(10 Minutes)
By: Kat Ross
Experience Level: Novice
I will be presenting some of my current work using Python and Django to develop an open source program for professional students. This program enables students to easily peer-review and create a functioning deck of unique Anki flash cards without any prior programming experience. Anki is currently the most sought after open source flash card creation system by professional students. However due to a learning curve (and time) required to create a quality deck, many students still do not take advantage of this resource. This program seeks to change that. Come see and hear how!
(10 Minutes)
By: Jimmy Scray
Experience Level: Intermediate
Slides Link
Have you wondered how gestures are loaded into a computer?
Or are you questioning if transcribing our movements is even possible?
Well, it is possible... But not without its own unique set of problems.
This talk touches on everything in the transcription process from the client side to the server side.
So how did we do it?
We used Mediapipe's machine-learning neural net library to transcribe our movements and gestures to XYZ coordinates. We then created a web crawler to transcribe all of the data from the American Sign Language (ASL) website. We are in process of normalizing this data based on angles related to one another.
The next step of the process, transcribing live gestures and movements is still in development, so let's talk about it!