Building interactive applications and dashboards in the Jupyter Notebook (sponsored by Bloomberg)
Romain Menegaux and Chakri Cherukuri demonstrate how to develop advanced applications and dashboards using open source projects, illustrated with examples in machine learning, finance, and neuroscience.
| Talk Title | Building interactive applications and dashboards in the Jupyter Notebook (sponsored by Bloomberg) |
| Speakers | Romain Menegaux (Bloomberg LP), Chakri Cherukuri (Bloomberg LP) |
| Conference | JupyterCon in New York 2017 |
| Conf Tag | |
| Location | New York, New York |
| Date | August 23-25, 2017 |
| URL | Talk Page |
| Slides | Talk Slides |
| Video | |
Romain Menegaux and Chakri Cherukuri demonstrate how to develop advanced applications and dashboards using open source projects, illustrated with examples in machine learning, finance, and neuroscience. Romain and Chakri first offer an overview of Jupyter’s widget ecosystem and components, including ipywidgets, bqplot, and pythreejs. They then explain how to link these widgets together using callback functions before sharing a few examples of advanced applications and dashboards developed using open source projects. This session is sponsored by Bloomberg.
