Often I use Python for exploratory purposes. Like, I got a bunch of data, and I want to know if a particular algorithm might work or not. I implement the algorithm, but realize the results don’t look good enough. So I tweak the algorithm, maybe even do major refactoring. Or maybe I realize my visualizations or metrics don’t capture what I need to see. Or maybe I must settle for some compromise?
I iterate on this repeatedly until I find something I’m happy about (or until I give up). Sometimes I end up with something completely different from my initial idea.
TDD won’t help me much here because the end result is unknown. For each iteration of this idea process I might even need to rewrite all the tests because none of them are valid anymore.
Often I use Python for exploratory purposes. Like, I got a bunch of data, and I want to know if a particular algorithm might work or not. I implement the algorithm, but realize the results don’t look good enough. So I tweak the algorithm, maybe even do major refactoring. Or maybe I realize my visualizations or metrics don’t capture what I need to see. Or maybe I must settle for some compromise?
I iterate on this repeatedly until I find something I’m happy about (or until I give up). Sometimes I end up with something completely different from my initial idea.
TDD won’t help me much here because the end result is unknown. For each iteration of this idea process I might even need to rewrite all the tests because none of them are valid anymore.
in this process it is just normal to get runtime errors. Your expectation is too high imo.