That's basically my approach. TOML is chosen for readability and easy maintenance, as well for the ability to cut and paste some chunks of python defining constants etc. directly which makes the first steps much less bureaucratic.
I'm looking into more general parsing that would allow me to define semi-verbose little languages. In my heart Stata is still the gold standard for rapid fire usability, even at the cost of idiosyncrasy; I'd like to further make the engineering of, say, REST APIs more and more code/language independent and more logically specified, since a lot of the new "data science" crowd coming from stats and applied maths can't code their way out of a Tequila Sunrise.
I'm looking into more general parsing that would allow me to define semi-verbose little languages. In my heart Stata is still the gold standard for rapid fire usability, even at the cost of idiosyncrasy; I'd like to further make the engineering of, say, REST APIs more and more code/language independent and more logically specified, since a lot of the new "data science" crowd coming from stats and applied maths can't code their way out of a Tequila Sunrise.