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Issue No.02 - March/April (2011 vol.13)
pp: 13-21
Fernando Pérez , University of California, Berkeley
Brian E. Granger , California Polytechnic State University, San Luis Obispo
John D. Hunter , TradeLink Securities
ABSTRACT
<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>
INDEX TERMS
Programming environments, software engineering, high-level languages, language classifications, programming languages, object-oriented languages, arrays, data structure, Python, scientific computing
CITATION
Fernando Pérez, Brian E. Granger, John D. Hunter, "Python: An Ecosystem for Scientific Computing", Computing in Science & Engineering, vol.13, no. 2, pp. 13-21, March/April 2011, doi:10.1109/MCSE.2010.119
REFERENCES
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4. J.D. Hunter, "Matplotlib: A 2D Graphics Environment," Computing in Science & Eng., vol. 9, no. 3, 2007, pp. 90–95.
5. T. Oliphant, Guide to NumPy, Tregol Publishing, 2006.
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