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Difference between revisions of "Python for Physics and Astronomy"

From AstroEd

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##Assignments
 
##Assignments
 
#Numpy, Scipy and Scikit
 
#Numpy, Scipy and Scikit
 +
##Numpy arrays
 +
##Numpy math
 +
##Scipy interpolation and integration
 +
##Scipy statistics
 
##Examples
 
##Examples
 
##Assignments
 
##Assignments
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##FITS headers
 
##FITS headers
 
##Processing and displaying images
 
##Processing and displaying images
 +
##Scipy and Scikit for image processing
 
##Examples
 
##Examples
 
##Assignments
 
##Assignments
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##Spectra
 
##Spectra
 
##Probability and statistics
 
##Probability and statistics
 +
##Examples
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##Assignments
 +
#User interfaces
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##Command line and the operating system
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##Graphical user interfaces in Python (GUI)
 
##Examples
 
##Examples
 
##Assignments
 
##Assignments
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##HTTP servers
 
##HTTP servers
 
##Getting data from servers
 
##Getting data from servers
 +
##Sending data to servers
 
##Common gateway interface - CGI
 
##Common gateway interface - CGI
 
##Using Python with CGI  
 
##Using Python with CGI  
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##Examples
 
##Examples
 
##Assignments
 
##Assignments
#Comparing Python to applications with other languages
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#Comparing Python to other languages
##Web development with Android
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##Bash scripting in Unix-like systems
##Instrument control and data analysis with LABView
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##Very simple C
##Astronomical calculations with Java: AstroCC
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##Using Python with other code
##Astronomical image processing and photometry with Java: AstroImageJ
+
##Android for web development
 +
##LabVIEW for instrument control and data analysis
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##Java for astronomical calculations: AstroCC
 +
##Java for astronomical image processing and photometry: AstroImageJ

Revision as of 18:46, 6 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 for their own work. This short course offers an introduction to Python with examples drawn from physics and astronomy.

The topics and examples covered are --

  1. Why program? Choosing a language.
  2. Very simple Python
    1. Installing it on your computer
    2. Using it in real time
    3. Using code as a standalone program
    4. Examples
    5. Assignments
  3. Elements of Python programming
    1. Input and output
    2. Data types: numbers and strings
    3. Lists, tuples, dictionaries, and statements
    4. Mathematics
    5. Examples
    6. Assignments
  4. Solving problems with Python
    1. Flow control
    2. Functions
    3. Iteration
    4. Examples
    5. Assignments
  5. Graphics
    1. Matplotlib
    2. Examples
    3. Assignments
  6. Numpy, Scipy and Scikit
    1. Numpy arrays
    2. Numpy math
    3. Scipy interpolation and integration
    4. Scipy statistics
    5. Examples
    6. Assignments
  7. Images
    1. Python Imaging Library - PIL
    2. Astronomical FITS files with Pyfits
    3. FITS headers
    4. Processing and displaying images
    5. Scipy and Scikit for image processing
    6. Examples
    7. Assignments
  8. Data acquisition and processing
    1. Real world interfacing
    2. Numerical data from images
    3. Fourier Transforms
    4. Spectra
    5. Probability and statistics
    6. Examples
    7. Assignments
  9. User interfaces
    1. Command line and the operating system
    2. Graphical user interfaces in Python (GUI)
    3. Examples
    4. Assignments
  10. Working with the web
    1. HTTP servers
    2. Getting data from servers
    3. Sending data to servers
    4. Common gateway interface - CGI
    5. Using Python with CGI
    6. Programming for server-side processing
    7. Examples
    8. Assignments
  11. Comparing Python to other languages
    1. Bash scripting in Unix-like systems
    2. Very simple C
    3. Using Python with other code
    4. Android for web development
    5. LabVIEW for instrument control and data analysis
    6. Java for astronomical calculations: AstroCC
    7. Java for astronomical image processing and photometry: AstroImageJ