AttributeError: property has no setter.  But... I thought this was Python! 

Let's have a talk about descriptors. 

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! 

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!

PyScript is a framework that allows users to create rich Python applications in the browser using HTML and the power of Pyodide, WASM, and modern web technologies. With Python running entirely within the browser-window, users can easily deploy Python scripts and applications with simple static hosting. In PyScript, Python can interoperate with existing JavaScript frameworks to leverage the vast world of existing web UI and visualization tech. And conversely, existing key Python libraries like numpy, pandas, open-cv, and more can be run - and their results beautifully displayed - in a zero-install environment for end users.

Following this talk, attendees will be able to use PyScript in integrate Python directly in a webpage, integrate Python and JavaScript togther in the browser, and understand the fundamental challenges of running Python in a browser context.

This will be a tutorial based talk with a demo at the end on how to use conversational language models  to make an interactive chatbot. The models that we will use are Blenderbot from Facebook Research and distilbert from google research / huggingface. We will also use Transformers from Huggingface which is an easy to use packaging and API for the above systems and also go over using speech recognition and text to speech to make interaction more fluid. At the end there will be an interactive demo.

Learn how we built cross-application search at Tegus by integrating Tegus content into recently-acquired BamSEC's document search system, using AWS SQS, Elasticsearch, and Python.

An overview of property-based testing with hypothesis.

In keeping with the proposed theme, I'd be happy to introduce R and compare/contrast it to Python. I'd like to talk especially about how well suited R is to Statistics, and how Pandas dataframes were inspired by R dataframes.  I've used both in my career as a data analyst and now data engineer, and initially prefered R though I've come around to the Python side.

When does it make sense to use Rust? What are the top challanges a Python user will face when trying Rust for the first time?

Contrasting the Python Programming language to Racket.

https://racket-lang.org