The resources linked from this repository were used to support the Python course for the 2022 edition of the PIMS Math^Industry workshop. The lecture notes for the numpy and pandas sections are available in the LecureNotes directory (along with some supporting material):

• numpy
• pandas

The scikit-learn portion of the course was taught by Matthew Greenberg and his notes are available as a google colab notebook

• scikit-learn

Their intention of these courses is to give m2pi participants a foundation for tackling the industry problems they will face in the following weeks of m2pi.

The notebooks being added to the ProblemSession directory will build on the material covered in the lecture notes to allow you to practice what you have learned. They range from simply pure-python problems in AoCProblems.ipynb to more complex problems utilizing numpy, pandas and scikit-learn. New notebooks will be added to the repository when they are used. Some of the problems include solutions at various stages of completion. You should view these as possible solutions, and you may be able to come up with a better solution (pull requests are welcome!)