A Python library is a collection of useful functions and code that allow you to complete a number of tasks without needing to write the code from scratch. There are over 100,000 libraries ...

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

the faster it’ll be able to crunch numbers. Using Python object types in Cython isn’t itself a problem. Cython functions that use Python objects will still compile, and Python objects may be ...

Python has four basic numeric types: integers, floating point real numbers, complex numbers, and booleans. Integers can be represented in decimal, octal, hexadecimal or binary formats. Outside of base ...

Define the Python functions that will underpin the inference ... But in the real world, we may wish to obtain predictions for a large number of observations at once. Fortunately, this is a trivial ...

you'd rather have it load a function f() from the Python file and execute it a variable number of times to calculate an aggregate total, based on a number provided on the command line. You could ...

Improve your Python testing even more. In my last two articles ... In pytest, you define fixtures using a combination of the pytest.fixture decorator, along with a function definition. For example, ...

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 ...

Ready to develop your first AWS Lambda function in Python? It really couldn’t be easier. The AWS Management Console’s built-in code editor first loads with a pre-existing, fully functional snippet of ...