This repository contains university coursework (University of Amsterdam) demonstrating practical Python skills essential for AI and ML development. The assignments cover a range of data-centric tasks, including web scraping, data transformation, visualization, and basic game logic — all implemented with clean Python code and widely used libraries.

• 📊 Data visualization with Bokeh and custom scripts (e.g., Gapminder visualizations)
• 🧹 Data transformation and preprocessing using real-world datasets (e.g., Yelp, KNMI)
• 🌐 Web scraping with Python (scraper.py)
• 🎮 Python scripting practice (e.g., Hangman, Card Game, Queue, Room logic)
• 📁 Modular code organization with helper functions and reusable components

These projects provided a strong foundation in Python fluency, data wrangling, and coding logic, which I later built upon in advanced machine learning and AI safety work.

All projects were developed as part of university coursework.

• Python (3.x)
• Bokeh
• Pandas, NumPy, Beautifulsoup, etc.
• Custom scripts and modules

All rights reserved. This coursework is shared for review purposes only and is not licensed for reuse or redistribution.