For over five years, my "bugs" weren't in code. They were in DNA sequencing runs that came back with unreadable peaks, PCR reactions that refused to amplify, and antioxidant assays that gave inconsistent results across replicates.
I have a background in Biotechnology and a Master's in Chemical Biology. I spent years in research labs analyzing experimental data, documenting processes, and trying to figure out why something that worked yesterday suddenly didn't work today.
Now I'm a career changer, studying Systems Analysis and Development and building my first real projects in Python. And the thing that surprised me most about learning to code wasn't the syntax. It was how familiar the process of debugging felt.
The scientific method is a debugging method
In the lab, when an experiment failed, you didn't just try random things until it worked. You had to:
