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! 

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.

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.

An overview of property-based testing with hypothesis.

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.

Contrasting the Python Programming language to Racket.

https://racket-lang.org

Craiyon.com is a front end for a neural network that takes in free-form text and generates images.  It can be viewed as a "language" that "compiles" to produce a binary that is an image.  This is one future of programming.

SQL is a declarative, recursive language.  For this year's Ultimate Language Shootout, I'm going to talk about how SQL is the best language that's not Python. 

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?

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.