Jupyter and the Evolution of ML Tooling with Brian Granger - #544

This article from Practical AI discusses the evolution of Project Jupyter, focusing on its adaptation to the rise of machine learning and deep learning. It features an interview with Brian Granger, a co-creator of Jupyter and a senior principal technologist at AWS. The conversation covers the initial vision of Jupyter, the shift in user needs due to ML, AWS's involvement, the application of HCI principles, and the future of notebooks and the Jupyter community. The article provides insights into the challenges and strategies involved in adapting a tool to a rapidly changing technological landscape and the importance of balancing the needs of different user groups.

• •Jupyter's evolution was significantly influenced by the rise of machine learning and deep learning.
• •Balancing the needs of existing scientific computing users with those of new ML users was a key challenge.
• •AWS has invested in Jupyter and is actively involved in its development and future.