b: while Python is not a high-performance language, python coding is easier than high-performance languages. And programmer time is valuable. But if after coding a project in python, the developer may then find that they need higher performance than what interpreted python offers, and thus might be tempted to redo their program in a high-performance language. But a non-interpreted python processor provides a more appealing alternative to just spend money on an FPGA (or in the future maybe even an ASIC) python co-processor which may be fast enough, rather than wasting programmer time porting their python code to a high-performance language.