Exploring Open Access Art Using the Deno Jupyter Kernel

255 · JupyterHub · April 17, 2025, 4:02 p.m.
deno Open Source jupyter deno Jupyter Kernel Open Access Art data analysis
Summary
This blog post explores using Deno's Jupyter kernel to analyze the National Gallery of Art's Open Access dataset, focusing on the interaction of JavaScript and TypeScript with data science techniques for exploring and visualizing artwork information. It provides insights into the dataset's structure, the process of cleaning and merging data, and deploying advanced data visualizations and interactions using libraries like Polars and Observable Plot.
Read full post on blog.jupyter.org →
AUTHOR
BLOG POST FEATURED ON

Placeholder image
r/IPython

1 points

Add this plugin to your blog