Link to the github repository with examples and helper tools can be found here
In general programming in Python is easy and one can start very quickly. Of course some previous experience in programming is very helpful. For our course except from the standard Python, it would be useful to learn about numpy and matplotlib.
Funny and tricky example based on the F. J. Anscombe's article (see above). This is a nice demonstration that the purely numerical analysis might be also misleading and that the data visualization plays an important role.
"Classical" flower classification problem:
Linear regression examples (see more here)
| wojciech.krzemien@ncbj.gov.pl |