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SCIENCEPROGRAMMING

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 eciently; 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

SCIENCEPROGRAMMING

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 eciently; 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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