# Difference between revisions of "Python for Physics and Astronomy"

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###[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#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 | + | ###[http://prancer.physics.louisville.edu/astrowiki/index.php/NumPy,_SciPy_and_SciKits#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] | ||

###[http://prancer.physics.louisville.edu/astrowiki/index.php/NumPy,_SciPy_and_SciKits#SciPy_and_SciKits#Interpolation Interpolation] | ###[http://prancer.physics.louisville.edu/astrowiki/index.php/NumPy,_SciPy_and_SciKits#SciPy_and_SciKits#Interpolation Interpolation] |

## Revision as of 03:06, 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 --

- Why program? Choosing a language.
- Very simple Python
- Elements of Python programming
- Solving problems with Python
- Graphical User Interfaces with Python
- Graphics with Python
- NumPy, SciPy and SciKits
- Image processing with Python and SciPy
- User interfaces
- 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.

- Real world interfacing
- Instrumentation and communication
- Serial ports
- USB
- TCPIP
- Threading
- Incorporating manufacturer's code

- 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

- Python and 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 and AstroImageJ