Thorsten Beier

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. JupyterLite enables data science and interactive computing with the PyData scientific stack, directly in the browser, without installing anything or running a server. JupyterLite leverages the Emscripten and Conda Forge infrastructure, making it possible to easily install custom packages with binary extensions in the browser, such as numpy, scipy and scikit-learn.

This will be a functional talk to present JupyterLite with concrete examples and live demos in the web browser. The structure of the presentation is as follows: - Introduction - Easy interactive computing in the browser - A lightweight Jupyter Frontend running in the browser - Boots in seconds - Deployment and scalability made easy - Demos of the Features: - the WebAssembly powered Python kernel - Support for existing JupyterLab Extensions, IPython, Jupyter Widgets, interactive visualizations - Support for Real Time Collaboration - Working with files and notebooks - A quick overview of the underlying architecture - Plugin-based as a Lumino application - Extensible by design: most JupyterLab extensions are compatible by default and new kernels can easily be added - Emscripten Forge - Presentation of the distribution that enables the emscripten platform for the mamba (conda) package manager - Allows freezing in time a given WebAssembly environment. This will enable a new level of computational reproducibility. - Based on the WebAssembly standard supported by all web browsers - Demo of using a custom set of Python packages in a JupyterLite deployment - A wide range of use cases - Embed a live Python console on your website 🚀 - Powering the numpy and sympy documentation to let anyone try the libraries in the browser without installing anything - Education: easy access to computing environment without the trouble of installing anything - Reducing the load on public services like mybinder.org - What's coming up next

Other people: Jeremy Tuloup Martin Renou

This session is part of the mainters track. Recently it became possible to run Python and the scientific Python packages in the browser thanks to WebAssembly and [Emscripten](https://emscripten.org/). This is done in particular in the [Pyodide](https://github.com/pyodide/pyodide) and [emscripten-forge](https://github.com/emscripten-forge/recipes) projects. It allows for a scientific Python application, or a compute environment such as [JupyterLite](https://github.com/jupyterlite/jupyterlite), to be seamlessly accessible to a large number of users with very little effort or infrastructure requirements. At the same time, the scientific Python 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 package in the browser, and what could be done to overcome these.

Recently it became possible to run Python and the scientific Python packages in the browser thanks to WebAssembly and [Emscripten](https://emscripten.org/). This is done in particular in the [Pyodide](https://github.com/pyodide/pyodide) and [emscripten-forge](https://github.com/emscripten-forge/recipes) projects. It allows for a scientific Python application, or a compute environment such as [JupyterLite](https://github.com/jupyterlite/jupyterlite), to be seamlessly accessible to a large number of users with very little effort or infrastructure requirements. At the same time, the scientific Python 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 package in the browser, and what could be done to overcome these.

Other people: Roman Yurchak