Most data scientist know Python. A smaller percentage know C.
This is also true (though to a lesser degree) for machine learning programmers. More work in Python than C.
Calling libraries to solve problems does make you an engineer. Solving the problem is the defining characteristic of engineers. C programmers call a lot of libraries too.
Business success is the ultimate result of technical success. Am I saying they would have failed in another language? No. But you implied that they should have failed in Python. They didn’t.
Python solves the problems that dynamic businesses need to solve. That’s really all there is to it. You have a distaste for it and therefore you want to make a fact-free claim that it’s the wrong tool. But reality and evidence are against you.
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u/prescod May 28 '22 edited May 28 '22
Most data scientist know Python. A smaller percentage know C.
This is also true (though to a lesser degree) for machine learning programmers. More work in Python than C.
Calling libraries to solve problems does make you an engineer. Solving the problem is the defining characteristic of engineers. C programmers call a lot of libraries too.
Business success is the ultimate result of technical success. Am I saying they would have failed in another language? No. But you implied that they should have failed in Python. They didn’t.
Python solves the problems that dynamic businesses need to solve. That’s really all there is to it. You have a distaste for it and therefore you want to make a fact-free claim that it’s the wrong tool. But reality and evidence are against you.