Issue No. 02 - March/April (2011 vol. 13)
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/MCSE.2010.119
Fernando Pérez , University of California, Berkeley
Brian E. Granger , California Polytechnic State University, San Luis Obispo
John D. Hunter , TradeLink Securities
<p>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.</p>
Programming environments, software engineering, high-level languages, language classifications, programming languages, object-oriented languages, arrays, data structure, Python, scientific computing
J. D. Hunter, F. Pérez and B. E. Granger, "Python: An Ecosystem for Scientific Computing," in Computing in Science & Engineering, vol. 13, no. , pp. 13-21, 2010.