DOE Python Exchange - Why Python?¶
Online meetup - December 1st, 2021
This site contains a static rendering of the presentation for the DOE Python Exchange hosted by the DOEPy organizing committee on December 1st, 2021.
For an overview of the talk, check out the abstract:
Abstract
In this presentation, I address the question “Why Python?” for scientific computing through the lens of my own personal experience as a researcher in the national lab system and contributor to open-source scientific Python software. Python’s generality, support for extensions, and ability to integrate with other languages make it applicable across the full spectrum of scientific computing tasks: from hardware integration, workstation-scale data analysis, to cluster-scale computational workflows. The scientific Python ecosystem has become the de facto standard for scientific and data-driven computational tasks, providing access to performant tools with applications across all domains. The scientific Python ecosystem allows researchers to perform analyses in a simple, expressive syntax that forms the basis of effective scientific communication and reproducibile of results. In addition to the technical aspects that make Python a great fit for scientific research, the community-driven development model has played a central role in the success of the scientific Python ecosystem. As scientific Python continues to grow and support an ever-expanding base of users, we look ahead to the future of the ecosystem and explore ways to ensure that it can continue to grow sustainably, get the necessary tools into the hands of researchers, and remain on the cutting edge of scientific research.
See the README for info on how to follow along interactively.