Here are some references I’ve found particularly useful when developing or debugging Python code with NumPy and SciPy. (I can’t avoid the temptation to use the Australian pronunciation: “Skippy.”
These focus on techniques for using specific methods. They are generally stronger than beginner’s introductions.
These provide encyclopedic reference on the details of function and syntax.
These provide some best practices on structuring the code.
The better organized on-line tutorials easily serve as user’s guides.
(Python logo provided courtesy of Python Software Foundation, used here under the “nominative use rules” of their policy.)