NumPy’s max() and maximum(): Find Extreme Values in Arrays
You’ve now seen examples of all the basic use cases for NumPy’s max() and maximum(), plus a few related functions.
Now you’ll investigate some of the more obscure optional parameters to these functions and find out when they can be useful.
Reusing Memory
When you call a function in Python, a value or object is returned. You can use that result immediately by printing it or writing it to disk, or by feeding it directly into another function as an input parameter. You can also save it to a new variable for future reference.
If you call the function in the Python REPL but don’t use it in one of those ways, then the REPL prints out the return value