Any function involving math operations, especially in Python, tends to be expensive. Caching and reusing the results is often orders of magnitude faster than recomputing the results each time.

Take advantage of the high-level async functions in Python’s asyncio library to write more efficient Python applications.

This is the output when run: $ python decorator_test.py Function calculate_squares being called at 2018-08-23 12:39:02.112904 Took 2.5019338130950928 seconds Dealing with parameters ...

In Python, you can define functions with optional arguments — that is, arguments that you don’t need to state explicitly afterwards — by providing a default value.

In this video, we will be looking at 10 Python functions that will simplify your life. These can save you a ton of time and a ...

Azure Functions, Microsoft's take on cloud-hosted, serverless, event-driven computing, now officially supports the Python programming language. The general availability of Python support follows a ...

Still using Excel for your data analysis? Learn how to leverage Python so you can work with larger datasets and automate repetitive tasks.