Effective Computation in Physics: Field Guide to Research with Python

Effective Computation in Physics: Field Guide to Research with Python

<div><p>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.</p><p>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.</p><p>In four parts, this book includes:</p><ul><li><b>Getting Started:</b> Jump into Python, the command line, data containers, functions, flow control and logic, and classes and objects</li><li><b>Getting It Done:</b> 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</li><li><b>Getting It Right:</b> Build pipelines and software, learn to use local and remote version control, and debug and test your code</li><li><b>Getting It Out There:</b> Document your code, process and publish your findings, and collaborate efficiently; dive into software licenses, ownership, and copyright procedures</li></ul></div>