Speaker: David Bindel (Cornell University)
Presentation courtesy of David Bindel.
Abstract:
Python caught on as a language for steering computational science applications long before it enjoyed its current mainstream popularity. Today, Python has a mature ecosystem of tools for writing and interacting with high-performance codes, and IPython/Jupyter notebooks are an increasingly common method of developing and documenting analyses. In this talk, we will discuss Python for computational science, including some of the standard scientific software packages available in Python. We will also show off the Jupyter notebook, including a demonstration of how to use Jupyter to interact with parallel jobs run on a cluster.