Jupyter users love it for exploring data, testing ideas, and writing code, and they’re used to sharing work and ideas in notebooks. But few people appreciate how powerful Jupyter is for generating interactive dashboards. Mac Rogers shares best practices for creating Jupyter dashboards and some lesser-known tricks for making Jupyter dashboards interactive and attractive, appeal to nontechnical users, and provide a permanent record for any information delivered.
This session is sponsored by Domino Data Lab.
Mac Rogers is a research engineer at Domino Data Lab, where he helps teams at enterprise companies, nonprofits, and universities accelerate research and integrate predictive models into their business using Domino’s data science platform. Previously, Mac was an investment engineer focusing on equity research systemization at systematic investment management firm Bridgewater Associates.
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