Python built-in functions (43) -- min, python built-in 43 min
English document:
min(Iterable,*[,Key,Default])
min(Arg1,Arg2,* Args[,Key])
Return the smallest item in an iterable or the smallest of two or more arguments.
If one positional argument is
These days, in order to sort out the driver knowledge that ldd3 learned some time ago, I went to look at the USB driver. I don't know, but I was shocked. There are a lot of syntaxes in it, which I found to be great at using. It's not like writing
Today encountered a modest problem, but it has been a day, but also accumulated experience and lessons. Usually when the code is always around the problem, as long as the final function even if completed, in fact, every bug is a good opportunity to
1. Title describes the data structure of the definition stack, implement a min function that can get the smallest element of the stack in this type. Idea: Use a secondary stack to hold the minimum valueStack 3,4,2,5,1Auxiliary stack 3,2,1Each in the
Today, we will focus on five aggregate operations for sequences. Most of the time when we operate on sequences, we want to execute some summary based on these sequences and then calculate the results.
EnumerableThis can be done by using the static
Once in a while, bored to fall into their own dug pit.Previous Blog "Vs2015–win32 project configuration of some ideas of the algorithm Min/max and Windows Min/max macro conflict" wrote how to deal with algorithm in Std:min and windows in the
Current number of APIs 49 common calculations (one) min-find the minimum max-find the maximum abs-absolute value round-rounding the floating-point numbers ceil-returns the smallest integer greater than or equal to the specified expression, and the
Python's min () function can also be used to compare tuple>>> A = (2,'ASV','DFG')>>> B = (3,'GSG','Weg')>>> C = (5,' Bad','ser')>>>min (A, B, c) (2,'ASV','DFG')>>>This is the official document.min (iterable[, key]) min (arg1, arg2, *args[, key])
----aggregate function--do the calculations to do statistics on NULL filtering: null is the value that you don't know, so you can't do the calculation--sum (Parameters): statistics and--avg (parameter): averaging--max (parameter): Maximum value--min
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