The Forgotten Kingdoms Lost Realms of History
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Among the major reasons why Python is "slow", it really boils down to 2 — Python is interpreted as opposed to compiled, ultimately leading to slower execution times; and the fact that it is dynamically typed. Take, for example, TensorFlow, a Machine Learning library available in Python. These libraries were actually written in C++ and made available in Python, sort of forming a Python implementation. The same goes for Numpy and, to an extent, even Caer.
Among the major reasons why Python is "slow", it really boils down to 2 — Python is interpreted as opposed to compiled, ultimately leading to slower execution times; and the fact that it is dynamically typed. Lorem Ipsum, you need to be sure there isn't anything hidden in the middle of text.