Case 1. Map Vs List comprehension for user defined function
:~ sadatravu$ python -mtimeit -s'xs = xrange(10)' 'def ch(x): return x+10' 'map(ch ,xs)'
1000000 loops, best of 3: 1.3 usec per loop
:~ sadatravu$ python -mtimeit -s'xs = xrange(10)' 'def ch(x): return x+10' '[ch(x) for x in xs]'
1000000 loops, best of 3: 1.39 usec per loop
Case 2. Map Vs List comprehension for inbuilt function
:~ sadatravu$ python -mtimeit -s'xs = xrange(10)' 'map(hex,xs)'
1000000 loops, best of 3: 0.926 usec per loop
:~ sadatravu$ python -mtimeit -s'xs = xrange(10)' '[hex(x) for x in xs]'
1000000 loops, best of 3: 1.14 usec per loop
Case 3. Map Vs List comprehension for function built by lambda
python -mtimeit -s'xs = xrange(10)' 'map(lambda x: x+10,xs)'
1000000 loops, best of 3: 1.29 usec per loop
python -mtimeit -s'xs = xrange(10)' '[lambda x: x+10 for x in xs]'
1000000 loops, best of 3: 0.958 usec per loop
Time taken by map function is lesser in Case1&2, whereas higher in Case3
Map ListComprehension
1. User defined function 1.3 usec 1.39 usec
2. Inbuilt function 0.926 usec 1.14 usec
3. function built by lambda 1.29 usec 0.958 usec