11-01, 15:10–16:40 (America/New_York), Music Box (Room 5411)
In this tutorial, you'll discover how to leverage the MERCURY framework to effortlessly transform your computed notebooks, such as those created in Jupyter Notebook, into interactive web apps, insightful reports, and dynamic dashboards. With no need for frontend expertise, you can effectively communicate your work to non-technical team members. Dive into the world of Python and enhance your notebooks to make your insights accessible and engaging.
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.
In this tutorial, we'll guide you through the following key topics:
- Getting Started: Setting the Stage with Jupyter Notebook
- Mercury Setup: Installation and Environment Configuration
- Exploring Mercury's Features: From PDF Result Downloads to Code Visibility
- Widget Wizardry: Adding and Selecting the Right Widgets for Your Notebook
- Crafting a Web App: A Step-by-Step Guide to Setting Up Your Application with Mercury
- Sharing Your Work
To make the most of this tutorial, we recommend installing Mercury beforehand. Github: https://github.com/mljar/mercury
Notebooks for tutorial you can find here --> https://github.com/mljar/pydata-nyc-2023
No previous knowledge expected
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).
PhD in computer science, author and creator of data science tool:
MLJAR AutoML - Automated Machine Learning framework https://github.com/mljar/mljar-supervised
MERCURY - Transform your notebook into a web app easily! https://github.com/mljar/mercury