Celebrating Las Vegas Technology & Innovation
This presentation introduces a pragmatic, tool-agnostic approach to AI-assisted development in Python by focusing on the three stages that determine outcomes: plan, code, and verify. Rather than centering on specific products, it frames AI as a high-throughput collaborator that must be directed through explicit context and constraints, then held accountable through repeatable checks. Attendees will […]
In this talk, we will discuss how to create an AI agent with a semantic cache using Microsoft's AutoGen module for Python. Two different semantic cache implementations will be presented using different vector databases. The first implementation will use PostgreSQL with pgVector, which is easy to deploy on local developer workstations. The second implementation will […]
This is our monthly meeting. More details will be added once we get closer to the event and a presentation is selected. VegasTech
Ever wished your Python scripts would put on real pants and greet the world with buttons, windows, and delightful little dialogs? In this talk, we’ll take our faithful command-line programs and teach them some social skills. You’ll learn how to turn quiet, text-only scripts into interactive desktop applications with actual clickable things. Yes — buttons […]
This presentation explores how to write high-value unit tests in Python with PyTest, treating testing as both a core engineering practice and a practical safeguard for AI-assisted development. On the engineering side, the session covers the standard reasons teams invest in good tests: catching regressions early, supporting safe refactoring, documenting expected behavior, and increasing confidence […]
This presentation shows how strong typing in Python turns implicit assumptions into explicit contracts that protect your code from both human error and AI-generated mistakes. It covers the practical value of typing in day-to-day engineering: replacing loose dictionaries with defined data types, typing classes, methods, and functions clearly, using generics to build reusable abstractions, and […]
We'll have a presentation on PyTorch with more details to come. PyTorch is a powerful, open-source machine learning library primarily developed by Meta AI that has become the industry standard for building and training deep learning models. It functions like a flexible mathematical sandbox, utilizing GPU-accelerated multidimensional arrays called "tensors" and a dynamic computation graph […]