results are so much quicker today seems the larger point here on cpythonmap is still quickest so far the impact of function callsmap watch what happensthoughif we change this script to perform an inline operation on each iterationsuch as additioninstead of calling built-in function like abs (the omitted parts of the following file are the same as beforeand put list back in around map for testing on only)file timeseqs py (differing partsdef forloop()res [for in repslistres append( return res def listcomp()return [ for in repslistdef mapcall()return list(map((lambda xx )repslist)list(in only def genexpr()return list( for in repslistlist(in def genfunc()def gen()for in repslistyield return list(gen()list in now the need to call user-defined function for the map call makes it slower than the for loop statementsdespite the fact that the looping statements version is larger in terms of code--or equivalentlythe removal of function calls may make the others quicker (more on this in an upcoming noteon python :\codec:\python \python timeseqs py ( :bd afb ebf sep : : [msc bit (amd )forloop =[ listcomp =[ mapcall =[ genexpr =[ genfunc =[ these results have also been consistent in cpython the prior edition' python results on slower machine were again relatively similarthough about twice as slow due to test machine differences (python results on an even slower machine were again four to five times as slow as the current resultstiming iteration alternatives