Take advantage of caching and the lru_cache decorator to relieve your Python functions from repetitive heavy lifting.

In the example above, the calculate_squares function didn’t need any parameters, but what if we wanted to make our log_performance decorator work with any function that takes any parameters?

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

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.

How to Build a Windows Search Function in Python. If you happen to not like the default Windows search options then you can write your own Windows search function in Python by following a few steps.

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 ...

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

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 ...