Implement the generator function scale(s, k), which yields elements of the given iterable s, scaled by k. As an extra challenge, try writing this function using a yield from statement! def scale(s, k):

"""Yield elements of the iterable s scaled by a number k.

>>> s = scale([1, 5, 2], 5)

>>> type(s)

>>> list(s)

[5, 25, 10]

>>> m = scale(naturals(), 2)

>>> [next(m) for _ in range(5)]

[2, 4, 6, 8, 10]

"""

Which statistical function in a spreadsheet you to see how far each number varies, on average, from the average value of the list?

What are some websites that you can read manga (ex: manga rock)

The value of sin(x) (in radians) can be approximated by the alternating infinite series create a function (prob3_2) that takes inputs of a scalar angle measure (in radians) and the number of approximation terms, n, and estimates sin(x). do not use the sin function in your solution. you may use the factorial function. though this can be done without a loop (more efficiently), your program must use (at least) one. you may find the mod() function useful in solving the problem.