2023-08-15 –, Aula
Learn how to show your work with the MERCURY framework. This open-source tool perfectly matches your computed notebook (e.g., written in Jupyter Notebook). Without knowledge of frontend technologies, you can present your results as a web app (with interactive widgets), report, dashboard, or report. Learn how to improve your notebook and make your work understandable for non-technical mates. Python only!
Mercury is a tool that lets you add interactive widgets to your Jupyter Notebook. With these widgets, you can easily turn your notebook into a web application for creating dashboards and presentations. You can even schedule automatic updates. Mercury also provides a way to control who can access your notebooks with a built-in authentication module. Best of all, it's free and open-source.
The tutorial will include the following:
- Start with Jupyter Notebook.
- How to start with MERCURY (installing and setting up the needed environment).
- Overview of the features as downloading results as PDF, restricting authentication, showing/hiding code.
- Add widgets to your notebook. Select the right widgets.
- Set up a web app with MERCURY.
- Deploy and share your web with others.
It would be great if you will have install Mercury before tutorial. Please check installation instructions in our repository https://github.com/mljar/mercury
From Complex Scientific Notebook to User-Friendly Web Application #datascience #python #webapp
Category [Data Science and Visualization] –Data Analysis and Data Engineering
Expected audience expertise: Domain –none
Expected audience expertise: Python –some
Public link to supporting material – Project Homepage / Git –
Software engineer trying to make data science tools easier to use for everyone. Working on open source tools: mljar-supervised and mercury.
Lawyer, a graphic designer with a passion for promoting data science tools. Open source enthusiast. From 2019, Executive Director at MLJAR - (the best open-source AutoML available).