A collection of Python applications I developed to explore scientific computing libraries and data analysis techniques for school. The suite demonstrates my work with NumPy, Pandas, and Matplotlib through custom statistical calculators and data visualization tools. Additional implementations explore API integrations and automated data collection systems, showcasing my progression in processing and analyzing diverse datasets through both mathematical computation and programmatic data gathering.

These projects were my first real taste of what Python could do beyond basic programming. I dove into the world of data science through hands-on experiments - calculating blackjack odds to see if hitting on 17 was actually smart, analyzing decades of baby name trends to understand cultural shifts, and even testing whether younger people really do rate fantasy movies higher than older folks.

The statistical work opened my eyes to how code could answer real questions. I was crunching stock market data to find patterns, building probability simulations, and creating visualizations that actually told stories. The MediaWiki API integration taught me how to pull data from the wild west of the internet and make sense of it.

What started as assignments became genuine curiosity projects. That Pepsi logo recreation using matplotlib? Pure creative coding fun. The web scraping experiments? My introduction to automated data collection that would prove useful years later.

These weren't just homework exercises - they were my gateway into understanding how Python could transform raw information into actual insights, setting the foundation for the data-driven approaches I'd use in later projects.