Description: Numerical Python (NumPy) is the main package for scientific computing in Python. It is maintained by a large community (www.numpy.org). Effective data-driven science and computation requires understanding how data is stored and manipulated. This seminar outlines and contrasts how arrays of data are handled in the Python language itself, and how NumPy improves on this. In this seminar, an HPC system will be used to access and run a Jupyter notebook to go through the material. Python version 3 is recommended for this training.

Presenter(s): Eric Jackson, GDIT/PET
Location: Webcast
Date & Time: May 26, 2020, 2:00p - 3:30p ET

Distribution Statement D. Distribution authorized to the Department of Defense and U.S. DoD contractors only, Administrative or Operational Use, 26 May 2020.  Other requests for this document shall be referred to the High Performance Computing Modernization Office, 3909 Halls Ferry Road, Vicksburg, MS 39180.

technical_area: Programming Environments