Addressing the Lock-in Dilemma
So far in our Fantasy Basketball Optimization series, we put together a relational database of CSV files with stats and […]
Fantasy Basketball Optimization
We used data science and analytics to optimize our fantasy basketball team, eventually leading to a league championship! This series
Managing the Lock-in Spreadsheet
This post focuses on the third and final source in our Fantasy Basketball Optimization database: the lock-in spreadsheet. While the
Pulling Data from the Sleeper API
This next post in our Fantasy Basketball Optimization series focuses on our second data source: the Sleeper API. The Sleeper
Pulling Data from API-NBA
In this post, we’ll kick off our fantasy basketball optimization project by pulling NBA stats using the API-NBA service. This
Analyzing GPX Trail Routes with Python
The Black Hills 100 is a grueling ultra-marathon that takes runners through the rugged beauty of South Dakota’s Black Hills.
Exporting Nike Run Club Data with Python
Nike Run Club (NRC) is a popular app for tracking running workouts and is widely used by runners to log
Apple Watch Analytics: Scatter Plots with Python and Jupyter Notebooks
Our Apple Watches track numerous health metrics during workouts, including running speed and calories burned. While the Apple Health app