Title :
Python for Scientists and Engineers
Author :
Millman, K. Jarrod ; Aivazis, Michael
Author_Institution :
University of California, Berkeley
Abstract :
Python has arguably become the de facto standard for exploratory, interactive, and computation-driven scientific research. This issue discusses Python´s advantages for scientific research and presents several of the core Python libraries and tools used in scientific research.
Keywords :
Computer languages; Numerical models; Programming; Scientific computing; Special issues and sections; Programming languages; Python; Python libraries; Python tools; Scientific computing; interactive research;
Journal_Title :
Computing in Science & Engineering
DOI :
10.1109/MCSE.2011.36
