Python and Numpy
APA
Lang, D. (2019). Python and Numpy. Perimeter Institute. https://pirsa.org/19100067
MLA
Lang, Dustin. Python and Numpy. Perimeter Institute, Oct. 08, 2019, https://pirsa.org/19100067
BibTex
@misc{ pirsa_PIRSA:19100067, doi = {10.48660/19100067}, url = {https://pirsa.org/19100067}, author = {Lang, Dustin}, keywords = {Other}, language = {en}, title = {Python and Numpy}, publisher = {Perimeter Institute}, year = {2019}, month = {oct}, note = {PIRSA:19100067 see, \url{https://pirsa.org}} }
Perimeter Institute for Theoretical Physics
Talk Type
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.