Effective Computation in Physics, by Anthony Scopatz, Kathryn D. Huff
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Effective Computation in Physics, by Anthony Scopatz, Kathryn D. Huff
Download Ebook PDF Online Effective Computation in Physics, by Anthony Scopatz, Kathryn D. Huff
More physicists today are taking on the role of software developer as part of their research, but software development isn’t always easy or obvious, even for physicists. This practical book teaches essential software development skills to help you automate and accomplish nearly any aspect of research in a physics-based field.
Written by two PhDs in nuclear engineering, this book includes practical examples drawn from a working knowledge of physics concepts. You’ll learn how to use the Python programming language to perform everything from collecting and analyzing data to building software and publishing your results.
In four parts, this book includes:
- Getting Started: Jump into Python, the command line, data containers, functions, flow control and logic, and classes and objects
- Getting It Done: Learn about regular expressions, analysis and visualization, NumPy, storing data in files and HDF5, important data structures in physics, computing in parallel, and deploying software
- Getting It Right: Build pipelines and software, learn to use local and remote version control, and debug and test your code
- Getting It Out There: Document your code, process and publish your findings, and collaborate efficiently; dive into software licenses, ownership, and copyright procedures
- Amazon Sales Rank: #770784 in eBooks
- Published on: 2015-06-25
- Released on: 2015-06-30
- Format: Kindle eBook
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.
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Most helpful customer reviews
4 of 4 people found the following review helpful. The book I wish I had 10 years ago when I started playing with Python... By SeferTech This book should be required (and enjoyable) reading for any student/researcher/scientist/engineer new to scientific computing. The book presents a modern account of the Python scientific computing environment from the command line to publication and everything good in between e.g. NumPy to parallel computing to version control and much more (see http://physics.codes for more). The book also helps you get quickly going with Python on your computer via the Anaconda environment which is very nice. I bought the Kindle version and plan to read it on my iPad while I try the programs (freely available for download at the above website) on my Macbook (ideal combination in my opinion) - it's never been more fun to be in scientific computing that it is these days and this book will help you get started or, like me, maintain and update your overall computational skill set. A must buy and a must read! Enjoy!
8 of 10 people found the following review helpful. Look at "Who the book is/isn't for" before buying. By John G Hartley Given the comments I had seen by others I had higher expectations for this book. There is a brief section early in the book titled "Who this book is not for" that states "If you have already been working as a software developer for several years, this book will help you only minimally". If I had seen that before purchasing the book I probably wouldn't have purchased it. While I wouldn't describe myself as a software developer, coding has always been an essential part of my professional toolkit. I was hoping for something that would help take my game to the next level but this wasn't it.
1 of 1 people found the following review helpful. Learn under a fun narrative By Doroth This book has been teaching me more than effective computation! I've learned about the community, the myths and the jokes so that I can laugh as well. The digital version contains color-coded python code, really awesome
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