Effective Computation in Physics
Field Guide to Research with Python
Paperback Engels 2015 1e druk 9781491901533Samenvatting
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
Specificaties
Lezersrecensies
Inhoudsopgave
1. Introduction to the Command Line
2. Programming Blastoff with Python
3. Essential Containers
4. Flow Control and Logic
5. Operating with Functions
6. Classes and Objects
Part 2: Getting It Done
7. Analysis and Visualization
8. Regular Expressions
9. NumPy: Thinking in Arrays
10. Storing Data: Files and HDF5
11. Important Data Structures in Physics
12. Performing in Parallel
13. Deploying Software
Part 3: Getting It Right
14. Building Pipelines and Software
15. Local Version Control
16. Remote Version Control
17. Debugging
18. Testing
Part 4: Getting It Out There
19. Documentation
20. Publication
21. Collaboration
22. Licenses, Ownership, and Copyright
23. Further Musings on Computational Physics
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