One of the main reasons I started programming in Python in 2011 was to ensure that everyone could replicate any of my scientific work. During my PhD, I realized that 99% of the papers and equations I came across were so complex and opaque that reproducing them was nearly impossible. Just imagine the hundreds of scientists today trying to stand on the shoulders of giants—only to stumble over equations that were never truly designed to work. Since then, I’ve written close to a million lines of code and made everything publicly available—so you can break it, connect it, and, hopefully, reuse it.