Actions

Difference between revisions of "Python for Physics and Astronomy"

From AstroEd

Line 48: Line 48:
 
###[http://prancer.physics.louisville.edu/astrowiki/index.php/NumPy,_SciPy_and_SciKits#Numpy#Indexing Indexing]
 
###[http://prancer.physics.louisville.edu/astrowiki/index.php/NumPy,_SciPy_and_SciKits#Numpy#Indexing Indexing]
 
###[http://prancer.physics.louisville.edu/astrowiki/index.php/NumPy,_SciPy_and_SciKits#Numpy#Functions_Broadcasting_Over_an_Array Functions and Broadcasting]
 
###[http://prancer.physics.louisville.edu/astrowiki/index.php/NumPy,_SciPy_and_SciKits#Numpy#Functions_Broadcasting_Over_an_Array Functions and Broadcasting]
###[http://prancer.physics.louisville.edu/astrowiki/index.php/NumPy,_SciPy_and_SciKits#Numpy#Matrix_and_Vector_Math_in_Numpy Matrix and Vector Math]
+
###[http://prancer.physics.louisville.edu/astrowiki/index.php/NumPy,_SciPy_and_SciKits#Matrix_and_Vector_Math_in_NumPy Matrix and Vector Math]
 
###[http://prancer.physics.louisville.edu/astrowiki/index.php/NumPy,_SciPy_and_SciKits#Numpy#Fourier_Transforms_in_NumPy Fourier Transforms in NumPy]
 
###[http://prancer.physics.louisville.edu/astrowiki/index.php/NumPy,_SciPy_and_SciKits#Numpy#Fourier_Transforms_in_NumPy Fourier Transforms in NumPy]
 
##[http://prancer.physics.louisville.edu/astrowiki/index.php/NumPy,_SciPy_and_SciKits#SciPy_and_SciKits  SciPy and SciKits]
 
##[http://prancer.physics.louisville.edu/astrowiki/index.php/NumPy,_SciPy_and_SciKits#SciPy_and_SciKits  SciPy and SciKits]

Revision as of 03:04, 10 April 2018

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.


This resource was developed as part of a full semester Research Methods class. Various examples that may be useful for developing small Python programs are collected here. They are a basis for a few exercises that were assigned during the course are are available here.


The topics and examples covered --

  1. Why program? Choosing a language.
  2. Very simple Python
    1. Installing it on your computer
    2. Editors and environments
    3. Using it in real time
    4. Using code as a standalone program
    5. Examples
    6. Assignments
  3. Elements of Python programming
    1. Input and output
    2. Data types: numbers and strings
    3. Lists, tuples, dictionaries, and statements
    4. Examples
    5. Assignments
  4. Solving problems with Python
    1. Flow control
    2. Functions
    3. Iteration
    4. Examples
    5. Assignments
  5. Graphical User Interfaces with Python
    1. A Tk Tutorial
    2. Building a Program
    3. Interfacing an Instrument
    4. Events and Control
    5. Widgets
  6. Graphics with Python
    1. Matplotlib
    2. Learning the basics of 2D data and function plotting
    3. Interactive plotting
    4. A little 3D plotting
    5. Bokeh
    6. Examples
    7. Assignments
  7. NumPy, SciPy and SciKits
    1. NumPy
      1. Arrays
      2. Indexing
      3. Functions and Broadcasting
      4. Matrix and Vector Math
      5. Fourier Transforms in NumPy
    2. SciPy and SciKits
      1. Interpolation
      2. Integration
      3. Differentiation
      4. Statistics
    3. Examples
    4. Assignments
  8. Image processing with Python and SciPy
    1. Python Imaging Library - PIL
    2. Images with NumPy and SciPy
    3. Astronomical FITS files with PyFITS
    4. Other processing
    5. SciKits
    6. Examples
    7. Assignments
  9. User interfaces
    1. Command line interfacing and access to the operating system
    2. Graphical user interfacing
    3. Running a server with javascript
  10. How to create a javascript program


These topics may be added to a longer version of this course or as working notes when time allows.

  1. Real world interfacing
    1. Instrumentation and communication
    2. Serial ports
    3. USB
    4. TCPIP
    5. Threading
    6. Incorporating manufacturer's code
  2. 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
  3. Python and 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 and AstroImageJ