Python Learning Exercises

This repository contains a collection of Python exercises that I will complete as part of my curriculum and ongoing learning. The goal is to gather practical examples, small projects, and exercises that reinforce concepts learned during coursework and self-study.

Repository structure

• Each exercise is a separate Python file in the repository root or a dedicated folder.
• Tests and helpers (if any) are included alongside exercises or in a tests/ folder.
• Keep filenames descriptive so it's easy to find specific exercises.

How to run an exercise

1. Open a terminal in the project folder.

2. Run an interactive exercise, for example:

   powershell> python .\ex1_media_tres_numeros.py
   

Running tests (if provided)

• If there is a simple test runner, run:

  powershell> python .\test_runner.py
  

• Prefer minimal dependencies; use built-in unittest or pytest if available.

Conventions and notes

• Exercises may use Portuguese variable names to match learning context, but code should be readable and consistent.
• Keep functions small and focused to make them easy to test and refactor.
• Simulated data should only be used for local testing, not for production or development environments that mimic production.

Recommended next steps

• Add a CONTRIBUTING.md describing how to add new exercises and naming conventions.
• Add small README sections per folder for larger topic collections (e.g., data-structures/, algorithms/, networking/).
• Consider lightweight persistence or example inputs in a fixtures/ folder for reproducible tests.

License

• Add a license file if you plan to share the repository publicly.