PhD course: Advanced Scientific Programming with Python (3 hp) - Answers to exercises

Day 1

• Readme file LinneaGG.md is in the uu-python/participants repository
• Jupyter notebook with answers to questions is in minimal_done.ipynb

Day 2

• The animals package is in the animals folder
• A working, bug-free dice game is in the no_bugs folder
• Questions about performance:

a. Investigate the performance of the matmult.py script In which line(s) of the script would you start optimizing for speed?

• I would start at line 26 where there are 3 nested loops.

b. Investigate the performance of the euler72.py script In which line(s) of the script would you start optimizing for speed? (This is one problem from the euler project: https://projecteuler.net/problem=72)

• I would start with the factorize function, at line 26 where there is a while-loop nesten within a for-loop.

c. Improve the performance of the matmult.py script What is the best performance that you achieved with N=250?

• By using NumPy's function for dot multiplication I got a total time of 0.0197328 s.

Day 3

• The classroom package with Person, Student, and Teacher classes are in the classroom folder
• Answers to NumPy exercises are in numpy_exercises.py
• An optimised matmult script using NumPy is in matmult_opt.py
• For MPI scripts see mpi_ranks.py and mpi_sum.py
• For GPU computing script see GPUcomputing.ipynb