Python Performance: Why 'if not list' is 2x Faster Than Using len()
Python Performance: Why 'if not list' is 2x Faster Than Using len()
not x implies to programmers that x is a bool.
Well fair enough but I still like the fact that len makes the aim and the object more transparent on a quick look through the code which is what I am trying to get at. The supporting argument on bools wasn’t’t very to the point I agree.
That being said is there an application of “not” on other classes which cannot be replaced by some other more transparent operator (I confess I only know the bool and length context)? I would rather have transparently named operators rather than having to remember what “not” does on ten different types. I like duck typing as much as the next guy, but when it is so opaque as in the case of not, I prefer alternatives. For instance having open or read on different objects which does really read or open some data vs not some object god knows what it does I should memorise each case.
len is the preferred choice for checking the emptiness of an object, for the reasons you mention. I’m just pointing out that assuming a variable is a bool because it’s used in a Boolean context is a bit silly, especially in Python or other languages where any object can have a truthiness value, and where this is commonly utilised.
Then I absolutely understand you :)
How common it is 100 % depends on the code base and what practices are preferred. In Python code bases where I have a word in decisions, all Boolean checks should be x is True or x is False if x should be a Boolean. In that sense, if I read if x or if not x, it’s an indicator that x doesn’t need to be a Boolean.