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article · Computer · 2014

Scaling Astroinformatics: Python + Automatic Parallelization

Stefan Müller, Gustavo Alonso, A. Csillaghy

Cited by 12Abstract and details only

Abstract

Pydron, a system that bridges the gap between interactive data analysis and scalable computing, enables astronomers to process large datasets with Python without the complexities of managing parallel processing code.

Cite this paper

APA 7

Müller, S., Alonso, G., & Csillaghy, A. (2014). Scaling Astroinformatics: Python + Automatic Parallelization. Computer, 47(9), 41–47. https://doi.org/10.1109/mc.2014.262

MLA 9

Müller, Stefan, et al. “Scaling Astroinformatics: Python + Automatic Parallelization.” Computer, vol. 47, no. 9, 2014, pp. 41–47, https://doi.org/10.1109/mc.2014.262.

Chicago

Müller, Stefan, Gustavo Alonso, and A. Csillaghy. 2014. “Scaling Astroinformatics: Python + Automatic Parallelization.” Computer 47 (9): 41–47. https://doi.org/10.1109/mc.2014.262.

Harvard

Müller, S., Alonso, G. and Csillaghy, A. (2014) ‘Scaling Astroinformatics: Python + Automatic Parallelization’, Computer, 47(9), pp. 41–47. Available at: https://doi.org/10.1109/mc.2014.262.

BibTeX
@article{muller2014scaling,
  title = {{Scaling Astroinformatics: Python + Automatic Parallelization}},
  author = {Müller, Stefan and Alonso, Gustavo and Csillaghy, A.},
  journal = {Computer},
  volume = {47},
  number = {9},
  pages = {41--47},
  year = {2014},
  doi = {10.1109/mc.2014.262}
}

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