Data science without borders
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.
| Talk Title | Data science without borders |
| Speakers | Wes McKinney (Two Sigma Investments) |
| 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 | |
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.
