Piscine Python for Data Science

The goal of the piscine Python is to get a grasp of the language, its concepts and tools, for data science.

Day 0 : "Starting"

First, we dive into the basic aspects of the language : syntax, types, data structures, formatting. We also learn to make a decorator much like tqdm, and to make our own packages.

Day 1 : "Array"

This day is an introduction to 2 libraries : - NumPy for arrays and matrices - PIL/Pillow for image processing We also make some use of Matplotlib for its visualization capabilities

Day 2 : "DataTable"

We start with some light data manipulation using Pandas, including handling data from external files. Then we use Matplotlib to create plots in order to visualize these sets of data.

Day 3 : "OOP"

No more libraries! Now we delve into object-oriented programming. This means class creation, magic/dunder methods and use of decorators.

Day 4 : "DoD"

This is the last day of this piscine, focused on data-oriented design. We look into how data is accessed, by using wrapper functions and dataclass.