Below you can find my writings on machine learning, data science, and technology. Enjoy!
Interview Question: What Machine Learning Metric to Use
One of my favorite questions to ask in an interview is "What metric should you use to decide if your model works?". Read on to find out what a good answer looks like!
Using Travis Build Stages to Test Multiple Python Versions and Publish to Pypi
Often when building packages, we want to test against multiple versions of the language, and then build the package once. I will show you how to accomplish this using Travis Stages.
Plotting the 2019 Tour de France
The Tour de France is a sporting event decided by mere minutes; to see exactly how those minutes were earned, read on for my plots!
Improving Wikipedia's Hour Record Plot
I love Wikipedia, I love cycling, and I love data! So today, I improve Wikipedia's Hour Record Plot! Come take a look!
Wayback Machine Archiver: Backup Pages with Python
The Internet Archive's Wayback Machine tries to keep a complete copy of the internet. With this script, you can submit pages for effortless indexing.
The Gender Pay Gap in Data Science Salaries
How do the salaries of woman data scientists compare to those of men? This month we explore pay by gender and location.
Python Patterns: @total_ordering
Your classes can make use of the rich Python comparison operators just like the built-in classes. Here I'll show you how to do it while minimizing boilerplate.
Data Science Salaries
How do data scientists salaries vary by experience and location? Read on to find out!
SWITRS: On What Days Do Cyclists Crash?
California crash data doesn't just cover cars, it covers bikes too! This time we look at when cyclists crash in California.
Python Patterns: Enum
Things often come in sets of specific items, like states, Pokémon, or playing cards. Python has an elegant way of representing them using enum.