ntezak/OpticalSocieyPythonWorkshop

A three-hours long introduction to some of the best scientific computing packages that exist for Python.

Scientific Computing with Python Workshop Files

Led by Nikolas Tezak and Ryan Hamerly, and covering the following:

• The IPython notebook
• SciPy+NumPy for data crunching
• Matplotlib for visualization
• IPython notebook widgets for making small GUI applets
• Briefly Pandas and Numba
• The Python ctypes module for direct interface with C-libraries
• The Cython module for writing efficient numerical code

Please download this repository (either via git clone or a zip file) and execute the test_packages.py script cd'ing into this directory and running

python test_packages.py

You can view the notebooks here to see the code and text without downloading them but we have removed all cell output for didactic purposes.