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UID:pretalx-euroscipy-2022-QHUSYT@pretalx.com
DTSTART;TZID=CET:20220831T143500
DTEND;TZID=CET:20220831T152000
DESCRIPTION:This session is part of the mainters track.\n\nRecently it beca
 me possible to run Python and the scientific Python packages in the browse
 r thanks to WebAssembly and [Emscripten](https://emscripten.org/). This is
  done in particular in the [Pyodide](https://github.com/pyodide/pyodide) a
 nd [emscripten-forge](https://github.com/emscripten-forge/recipes) project
 s. It allows for a scientific Python application\, or a compute environmen
 t such as [JupyterLite](https://github.com/jupyterlite/jupyterlite)\, to b
 e seamlessly accessible to a large number of users with very little effort
  or infrastructure requirements.\n\nAt the same time\, the scientific Pyth
 on ecosystem did not evolve with the web in mind. We will discuss some of 
 the challenges package maintainers may face when trying to run their packa
 ge in the browser\, and what could be done to overcome these.
DTSTAMP:20260611T041845Z
LOCATION:HS 119
SUMMARY:[Maintainers track] Python in the browser - Roman Yurchak\, Thorste
 n Beier
URL:https://pretalx.com/euroscipy-2022/talk/QHUSYT/
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UID:pretalx-euroscipy-2022-SYA7GA@pretalx.com
DTSTART;TZID=CET:20220901T135000
DTEND;TZID=CET:20220901T142000
DESCRIPTION:JupyterLite is a Jupyter distribution that runs entirely in the
  web browser\, backed by in-browser language kernels including WebAssembly
  powered Jupyter Xeus kernels and Pyodide.\n\nJupyterLite enables data sci
 ence and interactive computing with the PyData scientific stack\, directly
  in the browser\, without installing anything or running a server.\n\nJupy
 terLite leverages the Emscripten and Conda Forge infrastructure\, making i
 t possible to easily install custom packages with binary extensions in the
  browser\, such as numpy\, scipy and scikit-learn.
DTSTAMP:20260611T041845Z
LOCATION:HS 118
SUMMARY:Interactive Data Science in the browser with JupyterLite and Emscri
 pten Forge - Jeremy TULOUP\, QuantStack\, Martin Renou\, Thorsten Beier
URL:https://pretalx.com/euroscipy-2022/talk/SYA7GA/
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