2 Respuestas
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1. Machine learning, data analytics and any other real world application since python is turing complete.
2. For me it is that python is interpreted. I always used compiled languages. The claim is that interpreted is faster in development, compiled faster at runtime. Plus python is less typesafe than Java or C++. In the end it wouldn't matter to much which language you choose.
3. Fast development times, good resources and knowledgebase on the internet/decent community.
4. That's because of the performancecontrol you have in C++. You have less control about that in Python. And what i just mentioned: C++ is compiled, Python interpreted. This means that C++ code is checked for errors before runtime and Python at runtime. This costs more work for your PC at runtime so your application will have less performance. How big are the differences? Think in terms of 60-80 milleseconds.
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Boem Shakalaka Thanks a lot ^_^