my exercises

Some exercises I did for the Data Science MSc @Unipi.

I decided to publish these exercises in the (perhaps unlikely) case that someone will draw some inspiration from them or that they want to try to solve them.

What you will find in this repo

Each folder is dedicated to a subject I took.

In each folder you will find:

• a README.md with the title and text of each exercise, and
• a solution file for each exercise, for instance permutations.py.

If you want to try to solve anything yourself, open the README.md before looking at the python 🙂

List of subjects

• Programming for data science
• Algorithms & Data Structures for data science
• more to come!

What I am focusing on

Learning. I try to write solutions that are simple, clear, straigthforward. As these are done to learn and not strictly to get the best performance, I am sure that all of my solutions can be improved in that regard. However, I should not be doing something that is awful performance-wise.

Please open issues if

• you've got a more straightforward solution!
• you found a more efficient solution which is not less clear;
• there's a new way to do something;
• I've made a mistake, including any corner cases.

Style guide

• I'm using which is fantastic;
• and flake8 which is not, but is kinda necessary.

Thanks to

All my colleagues @ MSc Data Science @Unipisa for their help, their collaboration, suggestions, encouragement, teaching, inspiration.

My contacts are

Please contact me on Telegram if you're interested in anything in here. I hope this will be useful to someone. 🙂