Peter Beerli's Classes

Lab for Spring 2019

[see also on the Canvas website]

first Monday: we will learn about UNIX but no lab homework UNIX
Jan 14 Lab 1 PDF
Jan 28 Lab 2 PDF
Feb 11 Lab 3 PDF
Feb 18 Lab 4 Python, Conway's Game of Life PDF ( Some additional description of the Game of Life )
March 4 Lab 5 (Hilbert curve) PDF frog picture*

March 25 Lab 6 -- ODE solving using object orientation PDF

            (Some description of Conway's Game of Life   PDF)

Lab 4 Plotting with matplotlib PDF PDF
Lab 4: Hilbert Curve PDF, and here is a tutorial about the Hilbert curve PDF
Lab 5:Bayesian inference PDF
Lab 5 n-ODE lab PDF
Lab 6 Bayesian inference on 4-sided dice data using Python PDF
Lab 7 Bayesian inference on 4-sided dice data using C++ PDF
Lab 8 Translation of the numerical n-ODE example to C++ PDF
Lab 9 Combining Python with C++ using boost::python PDF
Lab 10 Speeding up a python program using Cython PDF Code to improve is this Mandelbrot Python program (look at the lectures on cython [integration and Juliaset examples) for details how to run cython)
Lab 1: Python, learn basic python commands and write a simple function PDF
Lab 2: Python, simple book analysis PDF
Lab 3: Python, Conway's Game of Life PDF
Lab 3 Addendum: Python and Matplotlib, Conway's Game of Life PDF
Lab 4 Plotting with matplotlib PDF
Lab 5 n-ODE lab PDF
Lab 6 Bayesian inference on 4-sided dice data using Python PDF
Lab 7 Bayesian inference on 4-sided dice data using C++ PDF
Lab 8 Translation of the numerical n-ODE example to C++ PDF Small Vector library
Lab 9 Combining Python with C++ using boost::python PDF
Lab 10 Speeding up a python program using Cython PDF Code to improve is this Mandelbrot Python program (this example [ integration.zip from the last class may help to set up the cython compile using the setup.py, it needs to be called like this: python setup.py build_ext --inplace )
Lab 11 Speeding up even more by running in parallel PDF