python_demo

python_demo, demonstrates how Python can be used to setup and solve a simple computational problem, and illustrate the results.

The notes:

• python_demo.pdf
• python_demo.tex

Scripts:

• random_points.py, a script which generates random positions for two flies.
• simulate_compare.py, a script which compares the simulation histogram to the exact PDF>
• simulate_error.py, a script which reports the change in the distance estimate as we increase the number of samples.
• simulate_histogram.py, a script which makes many simulations, then a histogram.
• simulate_many.py, a function which returns the average of n simulations.
• simulate_one.py, a script which reports the result of one simulation.
• simulate_time.py, a script which compares the speed of simulate_many() and simulate_vector();
• simulate_vector.py, a function which returns the average of n simulations, using a faster vector formulation.

Images:

• simulate_compare.png
• simulate_histogram.png
• simulate_one.png
• two_flies.png