The `reduce` function in functools can also be utilized in various practical scenarios. For example, you can use it to calculate the product of elements in a list or to concatenate strings in a list.

Another practical use case is using the `lru_cache` decorator to cache the results of expensive function calls. This can greatly improve the performance of functions that are called with the same arguments multiple times, as it avoids redundant computations.

Overall, the functools module offers powerful tools for functional programming and can be applied in many practical situations to improve code readability, performance, and maintainability.

Additionally, functools provides the `wraps` decorator, which is useful for creating well-behaved decorators that preserve the original function's metadata, such as its name, docstring, and module.

The functools module in Python provides several functions that are useful in functional programming. One practical use case is using the `partial` function to create new functions with some arguments already set. This can be handy when you have a function that requires many arguments, but you want to fix some of them to specific values to simplify its usage.