Python and Numpy

APA

Lang, D. (2019). Python and Numpy. Perimeter Institute for Theoretical Physics. https://pirsa.org/19100067

MLA

Lang, Dustin. Python and Numpy. Perimeter Institute for Theoretical Physics, Oct. 08, 2019, https://pirsa.org/19100067

BibTex

          @misc{ scivideos_PIRSA:19100067,
            doi = {10.48660/19100067},
            url = {https://pirsa.org/19100067},
            author = {Lang, Dustin},
            keywords = {Other Physics},
            language = {en},
            title = {Python and Numpy},
            publisher = {Perimeter Institute for Theoretical Physics},
            year = {2019},
            month = {oct},
            note = {PIRSA:19100067 see, \url{https://scivideos.org/pirsa/19100067}}
          }
          

Dustin Lang Perimeter Institute for Theoretical Physics

Source Repository PIRSA
Talk Type Scientific Series
Subject

Abstract

The core Python language is not particularly powerful or fast for numerical computing.  Fortunately, there is a large "numerical python" library, "numpy", that is a standard part of any Python-using scientist's toolkit.  I will present numpy, the associated "scientific python" library, "scipy", and the popular "matplotlib" plotting library.