I'm going to humbly suggest that trying to own the whole stack is a mistake. Bioinformatics requires a varied toolkit to perform any single analysis. Each step along the way has a different set of challenges and requirements. Expecting to be able to use one toolset or language for each step, I think is a mistake.
You'd never want to write a production alignment algorithm in Python (not performant enough), just as much as you don't want to create a visualization in C (way to low-level). Different problems... different optimizations... different strengths.
Trying to be all things to all people is a good way to be mediocre at all of them.
In certain circumstances, I think there is value in a variant of Python that is statically typed. However, even in that case, restricting the use-cases to bioinformatics makes is accessible to only a small subset of people who might benefit from the speed increases.
You'd never want to write a production alignment algorithm in Python (not performant enough), just as much as you don't want to create a visualization in C (way to low-level). Different problems... different optimizations... different strengths.
Trying to be all things to all people is a good way to be mediocre at all of them.
In certain circumstances, I think there is value in a variant of Python that is statically typed. However, even in that case, restricting the use-cases to bioinformatics makes is accessible to only a small subset of people who might benefit from the speed increases.