Cost of exception handlers in Python
In another question, the accepted answer suggested replacing a (very cheap) if statement in Python code with a try/except block to improve performance.
In another question, the accepted answer suggested replacing a (very cheap) if statement in Python code with a try/except block to improve performance.
I have a loop starting with for i in range(0, 100). Normally it runs correctly, but sometimes it fails due to network conditions. Currently I have it set so that on failure, it will continue in the except clause (continue on to the next number for i).
I want to catch KeyboardInterrupt globally, and deal with it nicely. I don’t want to encase my entire script in a huge try/except statement. Is there any way to do this?
I’m getting an error in a program that is supposed to run for a long time that too many files are open. Is there any way I can keep track of which files are open so I can print that list out occasionally and see where the problem is?
I have to make a Lagrange polynomial in Python for a project I’m doing. I’m doing a barycentric style one to avoid using an explicit for-loop as opposed to a Newton’s divided difference style one. The problem I have is that I need to catch a division by zero, but Python (or maybe numpy) just makes it a warning instead of a normal exception.
Consider these two snippets:
A third-party library (written in C) that I use in my python code is issuing warnings. I want to be able to use the try except syntax to properly handle these warnings. Is there a way to do this?
Why doesn’t list have a safe “get” method like dictionary?
Python has a singleton called NotImplemented.
Is there a standard way of using exception chains in Python? Like the Java exception ’caused by’? Here is some background. I have a module with one main exception class DSError: class DSError(Exception): pass Somewhere within this module there will be: try: v = my_dict[k] something(v) except KeyError as e: raise DSError("no key %s found … Read more