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In programs like Numpy or R, this would be very reasonable behavior to expect. Those are data analysis tools.

R:

> sin(c(1,2,3,4))
[1]  0.8414710  0.9092974  0.1411200 -0.7568025

Numpy:

sage: import numpy as np
sage: sin(np.array([1,2,3,4]))
array([ 0.84147098,  0.90929743,  0.14112001, -0.7568025 ])

Sage is mathematical, however. So you will have to explicitly apply the function to all entries. Python makes this easy using list comprehensions or the map function.

sage: [sin(l).n() for l in [1,2,3,4]]
[0.841470984807897, 0.909297426825682, 0.141120008059867, -0.756802495307928]
sage: map(sin,[1,2,3,4])
[sin(1), sin(2), sin(3), sin(4)]
sage: map( lambda x: sin(x).n(), [1,2,3,4])
[0.841470984807897, 0.909297426825682, 0.141120008059867, -0.756802495307928]