Python is from 1991, it got famous for the latest evolution of data science relatively recently (though Numpy and SciPy are not new). I've worked, in a professional and non professional environment on: parsers, web servers and web apps, lots of data manipulation, data science, game dev, networking and socket programming, scripting and system administration, even school assignments back then 😂
Having been a long time user to me it's a bit amusing when people discover Python has.a long and tried history of being used for anything but data science and AI.
I will leave you a few keywords if you want to do some research: Python and Django and Celery at Instagram, Python at YouTube, Industrial Light and Magic, Google's abandoned project Unladen Swallow, MyPy which basically came out of Dropbox as they have a massive Python codebase, Eve online and Python, all the financial companies using Python to interface with C++ numeric libraries like QuantLib and many other types of usage.
Python was literally designed to be a general purpose language easily extendable by C or C++ and I remember a time when people were complaining that all Python devs were building was web frameworks and blog engines (for example Django is as old as Rails though less popular)
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Python is from 1991, it got famous for the latest evolution of data science relatively recently (though Numpy and SciPy are not new). I've worked, in a professional and non professional environment on: parsers, web servers and web apps, lots of data manipulation, data science, game dev, networking and socket programming, scripting and system administration, even school assignments back then 😂
Having been a long time user to me it's a bit amusing when people discover Python has.a long and tried history of being used for anything but data science and AI.
I will leave you a few keywords if you want to do some research: Python and Django and Celery at Instagram, Python at YouTube, Industrial Light and Magic, Google's abandoned project Unladen Swallow, MyPy which basically came out of Dropbox as they have a massive Python codebase, Eve online and Python, all the financial companies using Python to interface with C++ numeric libraries like QuantLib and many other types of usage.
Python was literally designed to be a general purpose language easily extendable by C or C++ and I remember a time when people were complaining that all Python devs were building was web frameworks and blog engines (for example Django is as old as Rails though less popular)