{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/2b751d8c08fb4998aae02678ff1d6ce2\" frameborder=\"0\" width=\"1152\" height=\"864\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":864,"width":1152,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":864,"thumbnail_width":1152,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/2b751d8c08fb4998aae02678ff1d6ce2-0496cbab445a8cb7.gif","duration":222.8296,"title":"Python vs. JavaScript for Interactive Decision Tree Visualizations","description":"Hey there! In this video, I introduce a new Python package called supertree for interactive decision tree visualizations. I discuss the differences between using Python and JavaScript for this purpose, highlighting Python's dominance in data science despite accessibility challenges. I showcase how supertree works with popular libraries like scikit-learn and XGBoost, emphasizing its ease of use in various environments. Join me as I explore the world of interactive visualizations and share my thoughts on the evolving landscape of data science tools."}