To really flex the full power of Python though, you’ll need to understand concepts such as functions, modules, and more. To that end, we recommend checking out our guide to the best online ...

This lets Python work as a highly efficient code generator, making it possible to write applications that manipulate their own functions and have the kind of extensibility that would be difficult ...

Explore 20 essential activation functions implemented in Python for deep neural networks—including ELU, ReLU, Leaky ReLU, ...

One performance-enhancement technique common to many languages, and one Python can use too, is memoization—caching the results of a function call so that future calls with the same inputs don ...

Try doing this implementation with standard functions, and you’ll probably have a lot more trouble dealing with it. From a theoretical point of view, there are more reasons why Python classes ...

which accelerates numerical Python functions running on the CPU or GPU, but can't optimize entire programs and doesn't address wider Python use cases. Another is PyPy, an implementation of CPython ...