The three most common open source technologies for writing data science programs are Python, SciLab, and R. Here's how to write program-defined functions in R. There's no clear definition of the term ...

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 ...

When you run the Python interpreter, the main environment context is stored in the __main__ module's namespace dictionary. All functions, classes and variables that are defined globally can be found ...

typing.TypeIs lets us do the same thing in Python’s type hinting mechanisms. This way, functions used to validate whether or not something is a given type can be annotated to show they perform ...

Learn how Mypy's type checking works with functions and generators. In my last two articles I've described some of the ways Mypy, a type checker for Python, can help identify potential problems with ...

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

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 ...