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This repository contains templates, documentation, and sample data for advanced analytics using Python directly within Excel. The project is organized for clarity and ease of use, making it easy to extend, collaborate, and share.

• data/ — Excel files and sample datasets
• docs/ — Documentation and use case guides (organized by topic)
• src/ — Python scripts or modules (add here if needed)
• notebooks/ — Jupyter or Excel Python code samples (add here if needed)
• .github/ — GitHub workflows, issue templates
• .vscode/ — VSCode settings
• .gitignore — Files and folders to ignore in git
• requirements.txt — List of required Python packages

1. Clone this repository.
2. Open in VS Code or your preferred editor.
3. Review thedocs/ folder for use case guides and documentation.
4. Use thedata/ folder for your Excel files and datasets.
5. Add your own scripts tosrc/ or notebooks tonotebooks/ as needed.

Pull requests are welcome! For major changes, please open an issue first to discuss what you would like to change.

This repository is a curated collection of real-world use cases demonstrating howPython in Excel can be applied across various industries and scenarios. Whether you're in finance, healthcare, marketing, logistics, or education, this repo showcases practical examples, templates, and workflows that bridge the power of Python with the familiarity of Excel.

• 📈Industry-specific examples (e.g., financial modeling, supply chain optimization, healthcare analytics)
• 🧩Scenario-based solutions (e.g., data cleaning, forecasting, automation)
• 🛠️Reusable templates and code snippets
• 📚Step-by-step guides for each use case

• Data analysts and business professionals
• Excel power users exploring Python
• Python developers integrating with Excel
• Educators and learners looking for applied examples
• Anyone interested in practical applications of Python in Excel

This project is licensed under The Unlicense. Seehttps://unlicense.org/ for details.