Effective Computation in Physics


Effective Computation in Physics

Bücher Details

  • Titel:Effective Computation in Physics
  • Dateiname: effective-computation-in-physics.pdf
  • ISBN: 1017231491901535
  • Datum des Hochladens: 2020-01-15
  • Anzahl der Seiten: 511 Seiten
  • Autor: Anthony Scopatz/Kathryn D. Huff
  • Verlag: Anthony Scopatz/Kathryn D. Huff

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Überblick:

Über den Autor und weitere Mitwirkende Anthony Scopatz is a computational physicist and long time Python developer Anthony holds his BS in Physics from UC Santa Barbara and a Ph.D. in Mechanical / Nuclear Engineering from UT Austin. A former Enthought employee he spent his post-doctoral studies at the FLASH Center at the University of Chicago in the Astrophysics Department. He is currently a Staff Scientist at the University of Wisconsin-Maidson in Engineering Physics. Anthony’s research interests revolve around essential physics modeling of the nuclear fuel cycle and information theory & entropy. Anthony is proudly a fellow of the Python Software Foundation and has published and spoken at numerous conferences on a variety of science & software development topics.Kathryn Huff is a Fellow with the Berkeley Institute for Data Science and a postdoctoral scholar with the Nuclear Science and Security Consortium at the University of California Berkeley. In 2013 she received her Ph.D. in Nuclear Engineering from the University of Wisconsin Madison. She also holds a bachelor's degree in Physics from the University of Chicago. She has participated in varied research including experimental cosmological astrophysics experimental non-equilibrium granular material phase dynamics computational nuclear fuel cycle analysis and computational reactor accident neutronics. At Wisconsin she was a founder of The Hacker Within scientific computing group and has been an instructor for Software Carpentry since 2011. Among other professional service she is currently an division officer in the American Nuclear Society and has served two consecutive years as the Technical Program Co-Chair of the Scientific Computing with Python (SciPy) conference.

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