Data Structures Explained

Welcome to data-structures-explained, part of the practice-python-for-beginners series.

This repository introduces Python’s core collection data types: list, tuple, set, and dict.
These are essential for organizing and managing data effectively in real-world Python programs.

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📦 Repository: data-structures-explained

Purpose:
Introduce beginners to Python’s fundamental data structures — how to create, modify, and use lists, tuples, sets, and dictionaries for practical programming tasks.

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📚 Topics Covered

• Creating and modifying lists
• Using tuples for immutable collections
• Storing unique items in sets
• Managing key-value pairs in dictionaries
• Common built-in methods and best practices

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🗂 Directory Structure

data-structures-explained/
│
├── LICENSE
├── README.md
│
├── exercises/
│   ├── lists_example.py
│   ├── tuples_example.py
│   ├── sets_example.py
│   ├── dictionaries_example.py
│   └── tests/
│       ├── test_lists_example.py
│       ├── test_tuples_example.py
│       ├── test_sets_example.py
│       └── test_dictionaries_example.py
│
└── requirements.txt

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⚙️ Setup Instructions

1. Clone the repo:

   git clone https://github.com/practice-python-for-beginners/data-structures-explained.git
   cd data-structures-explained

2. (Optional) Create and activate a virtual environment:

   python -m venv venv
   source venv/bin/activate   # Windows: venv\Scripts\activate

3. Install dependencies:

   pip install -r requirements.txt

4. Run all tests:

   pytest

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🧠 Learning Outcomes

By exploring the examples in this repository, learners will:

• Gain confidence in handling lists, tuples, sets, and dictionaries.
• Understand basic mutability and immutability.
• Use built-in Python functions (len, sum, in, etc.) effectively.
• Learn to perform add, remove, loop, and access operations.

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🧾 License

All code in this repository is licensed under the GNU General Public License v3 (GPLv3).
See LICENSE for the full text.

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Happy coding and exploring Python data structures!

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