Python for Data Science — 42 SP

A personal learning repository for the Python for Data Science piscine from École 42.

What Is the Piscine?

The Python for Data Science piscine is an intensive learning program at École 42 that covers Python programming fundamentals and data science concepts through a series of hands-on modules and exercises.

Repository Structure

The repository is organized by module, following the official piscine structure:

python_0_starting/      — Python basics and getting started (ex00–ex09)
python_1_array/         — Arrays and NumPy fundamentals (ex00–ex05)
python_2_datatable/     — DataFrames and data manipulation (ex00–ex04)
python_3_oop/           — Object-oriented programming (ex00–ex04)
python_4_dod/           — Data-oriented design (ex00–ex02)

How Exercises Are Organized

Each module contains numbered exercise folders. Every exercise folder holds:

File	Purpose
main.py	Starter implementation file
README.md	Exercise description, requirements, and implementation notes
notes.md	Personal learning observations and debugging notes

Example layout:

python_0_starting/
    ex00/
        main.py
        README.md
        notes.md
    ex01/
    ...

How to Run Python Scripts

# Clone the repository
git clone https://github.com/RogerioLS/Python_for_Data_Science-42sp.git
cd Python_for_Data_Science-42sp

# (Optional) create a virtual environment
python3 -m venv .venv
source .venv/bin/activate

# Run an exercise
python python_0_starting/ex00/main.py

Modules

Module	Topic	Exercises
Python 0 — Starting	Python basics	ex00–ex09
Python 1 — Array	Arrays and NumPy	ex00–ex05
Python 2 — DataTable	DataFrames	ex00–ex04
Python 3 — OOP	Object-oriented programming	ex00–ex04
Python 4 — DoD	Data-oriented design	ex00–ex02

References

• 42 São Paulo
• Python Documentation