Title :
Python: An Ecosystem for Scientific Computing
Author :
Pérez, Fernando ; Granger, Brian E. ; Hunter, John D.
Author_Institution :
Univ. of California, Berkeley, CA, USA
Abstract :
As the relationship between research and computing evolves, new tools are required to not only treat numerical problems, but also to solve various problems that involve large datasets in different formats, new algorithms, and computational systems such as databases and Internet servers. Python can help develop these computational research tools by providing a balance of clarity and flexibility without sacrificing performance.
Keywords :
object-oriented languages; Python; computational research tool; large dataset; numerical problem; scientific computing; Programming environments; Python; arrays; data structure; high-level languages; language classifications; object-oriented languages; programming languages; scientific computing; software engineering;
Journal_Title :
Computing in Science & Engineering
DOI :
10.1109/MCSE.2010.119
