SCIENCEPROGRAMMING
Effective Computation in Physics
ISBN: 978-1-491-90153-3
US $49.99 CAN $57.99
“
This is the book I wish
had existed when I
was a physics graduate
student. Now that
computing has become
central to virtually all
scientific research, it
should be essential
reading for scientists
from many disciplines:
practical, hands-on
knowledge that will help
with all stages of the
research cycle.
”
—Fernando Perez
Staff Scientist,
Lawrence Berkeley National Laboratory
Twitter: @oreillymedia
facebook.com/oreilly
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 ndings, and collaborate eciently; dive into
software licenses, ownership, and copyright procedures
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. She received her Ph.D. in Nuclear Engineering
from the University of Wisconsin-Madison.
Anthony Scopatz, a computational physicist and longtime Python developer,
holds a Ph.D. in Mechanical/Nuclear Engineering from the University of Texas at
Austin. In August 2015, he'll start as a professor in Mechanical Engineering at the
University of South Carolina.
Anthony Scopatz &
Kathryn D. Hu
Effective
Computation
in Physics
FIELD GUIDE TO RESEARCH
WITH PYTHON
Effective Computation
in Physics
Scopatz & Hu
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