PyData Prague #10 - Pandemic Lite

Hello data-devourers and Python conjurers!

We haven't had a proper in-person meeting with talks for ages but now we are back with a perfect venue (CreativeDock) and two talks that will make up for the long wait (see below). As usual, we will support our main goal of building the community around Python and data and making it welcoming to people of various skills and experience levels. Please RSVP here so that we can prepare the event for the right number of participants.

1. JupyterLite: Jupyter ❤️ WebAssembly ❤️ Python: Jeremy Tuloup
   JupyterLite is a JupyterLab distribution that runs entirely in the web browser, backed by in-browser language kernels.
   The goal of the project is to provide a lightweight computing environment accessible in a matter of seconds with a single click, in a web browser, and without having to install anything on the end-user device.
   JupyterLite ships by default with Pyolite, a Python kernel backed by Pyodide. Pyodide consists of the CPython interpreter compiled to WebAssembly which allows Python to run in the browser. Many popular scientific Python packages have also been compiled and made available, such as numpy, pandas and matplotlib.
   This presentation will be a functional talk to present JupyterLite with concrete examples and live demos, including:
   - A tour of the JupyterLab and Notebook interfaces
   - Running Python and the scientific stack in the browser
   - Features such as interactive visualizations, Jupyter Widgets, extensions, themes
   - Additional kernels for Lua, SQLite and other languages
   - Real Time Collaboration
   - How to deploy your own JupyterLite and embed a Python console in any website
   - And more!
   Jeremy Tuloup is a Technical Director at QuantStack and a Jupyter Distinguished Contributor. Jeremy is also a maintainer and contributor of JupyterLab, Notebook, JupyterLite, Voilà, and other projects within the Jupyter ecosystem.
2. Tested on agents - how we designed an agent-based epidemiological model: Roman Neruda, Petra Vidnerová
   Epidemiological modeling helps us to understand the dynamics of disease spread and the effects of various protective measures. Agent-based models provide simulation tools for detailed modeling of individual human behavior. We will present a general network agent model that has been used to study epidemic scenarios in various environments, including a typical Czech county, or a school.
   Roman Neruda and Petra Vidnerová are researchers at the Institute of Computer Science, Czech Academy of Sciences.

The venue will open at 6.00pm but the intro won't take place sooner than at 6:30pm. We should enter via the Expo 58 gallery (in the middle floor of the 3-floor building). There will be food and drinks available, 🤗 sponsors.

Please, RSVP here.

See you soon,
PyData Prague team