Daniel Chen

Shiny is a framework for building web applications and data dashboards in Python. In this workshop, you will see how the basic building blocks of shiny can be extended to create your own scalable production-ready python applications.

Shiny is a framework for building web applications and data dashboards in Python. In this workshop, you will see how the basic building blocks of shiny can be extended to create your own scalable production-ready python applications.

In this chalk talk, learn how to design and implement modern analytics architectures, including data mesh, fabric, and virtualization, that break down data silos and drive analytics agility using Amazon Athena’s data source connectors and open data formats.

Quarto is an open-source scientific and technical publishing system built on Pandoc. With Quarto, you can create dynamic content with Python, R, Julia, and Observable, author documents as plain text markdown or Jupyter notebooks, and output to multiple format types.

The tidyverse has grown to be a widely used set of tools with `dplyr` as one of its earliest members. One can leverage people's familiarity with `dplyr` as the motivating example for going through the more complicated topics around tidy evaluation. By re-implementing the behaviours of some dplyr fun

Stream processing has always been a core component of Linkedin infrastructure - with over a trillion messages processed each day. In this talk we will share how we expanded our stream processing capabilities by adopting the Beam Python Portability framework with Samza Beam Runner to bring stream...