Python functional programming

A function is an object.
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square = lambda x: x *2

Functions can be returned as objects
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def build_taxer(rate):
    def taxer(amount):
        return amount * (float(rate) / 100)
    return taxer

filter and lambda
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filter( lambda x: x%2==0, range(10))

list comprehensions can replace map and filter, but compute the whole list is slow
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[i *2 for i in range(10) if i%2==0]

list is slow actually we only need to compute part of the list
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def is_prime(n):
return not any(n%k==0 for k in xrange(2,n))

in contrast to any(seq), all(seq) returns true if all elements of the sequence are true

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