Difference between revisions of "Python for Physics and Astronomy"
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Revision as of 20:21, 18 February 2013
The Python programming language is a widely used tool for basic research and engineering. Its rapid rise in popularity is supported by comprehensive, largely open-source, contributions from scientists who use it for their own work. This short course offers an introduction to Python with examples drawn from physics and astronomy as part of a full semester Research Methods class.
The examples are collected here.
All the assignments are here.
Homework should be uploaded here.
The topics and examples covered are --
- Why program? Choosing a language.
- Very simple Python
- Elements of Python programming
- Solving problems with Python
- Graphics with Python
- Numpy, Scipy and Scikit
- Numpy arrays
- Numpy math
- Scipy interpolation and integration
- Scipy statistics
- Python Imaging Library - PIL
- Astronomical FITS files with Pyfits
- FITS headers
- Processing and displaying images
- Scipy and Scikit for image processing
- Data acquisition and processing
- Real world interfacing
- Numerical data from images
- Fourier Transforms
- Probability and statistics
- User interfaces
- Command line and the operating system
- Graphical user interfaces in Python (GUI)
- Working with the web
- HTTP servers
- Getting data from servers
- Sending data to servers
- Common gateway interface - CGI
- Using Python with CGI
- Programming for server-side processing
- Comparing Python to other languages
- Bash scripting in Unix-like systems
- Very simple C
- Using Python with other code
- Android for web development
- LabVIEW for instrument control and data analysis
- Java for astronomical calculations: AstroCC
- Java for astronomical image processing and photometry: AstroImageJ