Effective Computation in Physics: Field Guide to Research with Python 1st Edition
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About the Author
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.
- Publisher : O'Reilly Media; 1st edition (July 21, 2015)
- Language : English
- Paperback : 552 pages
- ISBN-10 : 1491901535
- ISBN-13 : 978-1491901533
- Item Weight : 2.08 pounds
- Dimensions : 7 x 1.25 x 9.19 inches
- Best Sellers Rank: #395,054 in Books (See Top 100 in Books)
- Customer Reviews:
Top reviews from the United States
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If you want to learn python and no physics/science; this book IS NOT for you. If you are a scientist who wants to learn automation for you projects; this book IS for you.
I bought this book for learning python, I am not a scientist nor a phycicist. Every practice in this book revolves around physics and atoms, they are very hard to understand if you're not a scientist yourself.
First one hundred pages are decent python learning material, the rest is for automating atom science applications.
I should've done more research about this book before spending over 40 dollars for this. Well this was a lesson.
I wish I could give it better than 3 stars. If a greatly expanded second or third edition were available it would be great. Until then this is too little, too late.
I haven’t read the whole book, so I’m sure there are things I could criticize, but having skipped around to read the parts that I know the least about, it’s spectacular so far. If you’re unsure read the Kindle preview; it overviews the book well.
Edit: now, having read the whole thing, I can say this book is almost perfect for people like me: good at math and your domain science, but lacking in computer science training.