Libraries are collections of shared code. They're common in Python, where they're also called "modules," but they're also ...

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

Decorators in Python are a prime-time example of a perfectly implemented feature. It does take a while to wrap your head around, but it’s worth it.

Ubuntu is a free computer system, like Windows or macOS, but it’s built by a community. It’s great for programmers because it’s very flexible and has lots of tools already built-in that help you code.

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