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Difference between revisions of "Python for Physics and Astronomy"

From AstroEd

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##Serial ports
 
##Serial ports
 
##USB
 
##USB
##TCPIP
+
##Ethernet and TCPIP
##Threading
+
#Parallel processing
##Incorporating manufacturer's code
+
##Using all the processors (CPUs) in your computer
 +
##Using graphical processing units (GPUs)
 +
##Artificial intelligence computing with tensor processing units (TPUs)
 
#Working with the web
 
#Working with the web
 
##HTTP servers
 
##HTTP servers
 
##Getting data from servers
 
##Getting data from servers
 
##Sending data to servers
 
##Sending data to servers
##Common gateway interface - CGI
+
##Using Python with the Common Gateway Interface (CGI)
##Using Python with CGI  
 
 
##Programming for server-side processing
 
##Programming for server-side processing
 
#Python and  other languages
 
#Python and  other languages
 
##Bash scripting in Unix-like systems
 
##Bash scripting in Unix-like systems
 
##Very simple C
 
##Very simple C
##Using Python with other code
+
##Connecting Python to the browser engine
##Android for web development
+
##Chrome and Firefox for web development
##LabVIEW for instrument control and data analysis
 
 
##Java for astronomical calculations: AstroCC and AstroImageJ
 
##Java for astronomical calculations: AstroCC and AstroImageJ

Revision as of 06:00, 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
    4. Other Processing
    5. SciKits
    6. AstroImageJ and Alsvid
    7. Examples
    8. 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. Ethernet and TCPIP
  2. Parallel processing
    1. Using all the processors (CPUs) in your computer
    2. Using graphical processing units (GPUs)
    3. Artificial intelligence computing with tensor processing units (TPUs)
  3. Working with the web
    1. HTTP servers
    2. Getting data from servers
    3. Sending data to servers
    4. Using Python with the Common Gateway Interface (CGI)
    5. Programming for server-side processing
  4. Python and other languages
    1. Bash scripting in Unix-like systems
    2. Very simple C
    3. Connecting Python to the browser engine
    4. Chrome and Firefox for web development
    5. Java for astronomical calculations: AstroCC and AstroImageJ