Data science without borders

JupyterCon brings together data scientists with a vision of a shared environment for interactive computing and reproducible research. What if we could expand this vision to include computational infrastructure and data itself? There are significant challenges in making this vision a reality.

Wes McKinney makes the case for a shared infrastructure for data science, discusses the open source community’s efforts on Apache Arrow, and offers a vision for seamless computation and data sharing across languages.