Python Learning Challenges

This repository contains a collection of Python modules and scripts designed to help you learn and practice fundamental programming concepts. Each module focuses on a specific topic, including data structures, control flow, object-oriented programming, and practical coding challenges proposed to me during my School of Software Engineering (2025) training at Endava Uruguay.

Contents

• data_structures/
  Learn about mutable and immutable collections in Python, including lists, dictionaries, sets, tuples, strings, and variables.

• control_structures/
  Practice with control flow statements such as if, match-case, for, and while loops, including iterative patterns and input validation.

• comprehensions/
  Explore list, set, dict comprehensions, and generator expressions for concise and expressive data transformations.

• oop/
  Understand object-oriented programming concepts like classes, attributes, methods, inheritance, and special methods.

• challenges/
  Solve practical exercises such as password validation, guessing games, and simple battle simulations.

How to Use

Each script is self-contained and can be run independently. You can use them as examples, modify them for your own practice, or extend them with new features.

1. Clone the repository
   Open a terminal and run:

   git clone git@github.com:codenamecoffee/Python_Fundamentals_Exercises.git
   cd Python_Fundamentals_Exercises
   

2. Run any module

   • If the module does NOT have relative imports or depend on other package files:
     From the repository root, run:

     python path/to/module.py
     

     Example:

     python data_structures/variables.py
     

   • If the module HAS relative imports or imports other files from the package:
     Use the -m flag to run it as a module from the repository root:

     python -m folder.module_name
     

     Example:

     python -m data_structures.variables
     

     This ensures that relative imports work correctly.

   • On Windows, if you have multiple Python versions installed:
     You can use the launcher:

     py -3 path\to\module.py
     py -3 -m folder.module_name
     

3. About the Python interpreter
   Make sure you have Python 3.10 or higher installed:

   python --version
   

4. (Optional) Use a virtual environment
   To isolate dependencies and Python versions:

   python -m venv .venv
   # On Windows:
   .venv\Scripts\activate
   # On Mac/Linux:
   source .venv/bin/activate
   

   Then run the modules as shown above.

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Notes:

• Use python -m package.module if the file has relative imports or depends on other modules in the same package.
• If it is just a simple script and does not import other files, you can run it directly with python file.py.
• Currently, most scripts in this repository do not use relative imports, but these instructions will help if you add internal dependencies in the future.

Requirements

• Python 3.10 or higher is recommended (for match-case syntax).
• No external dependencies required.

License

This repository is for educational purposes.

Author

Federico González Lage