Python中幾個內(nèi)置函數(shù)

#兩個list，取(x - y) + (y - x)
x=[{'a': 1, 'b': 2}, {'c': 3}, {'d': 4}]  
y=[{'a': 1}, {'c': 3}, {'e': 5}]

filter(lambda z: (x+y).count(z)<2, (x+y))  

#flatten out nested sublist
#result: [ 1, 2, 3, 4, 5 ]
import operator  
reduce( operator.concat, [ [ 1, 2 ], [ 3, 4 ], [ ], [ 5 ] ], [ ] )  

#多項式求和
import operator  
def evaluate (a, x):  
       xi = map( lambda i: x**i, range( 0, len(a)))
       axi = map(operator.mul, a, xi)
       return reduce( operator.add, axi, 0 )

#數(shù)據(jù)庫SQL
reduce( max, map( Camera.pixels, filter(  
        lambda c: c.brand() == "Nikon", cameras ) ) )

#maybe equals
SELECT max(pixels)  
FROM cameras  
WHERE brand = “Nikon”

#There.
#cameras is a sequence
#where clause is a filter
#pixels is a map
#max is a reduce

#一行并發(fā)
import urllib2  
from multiprocessing.dummy import Pool as ThreadPool

urls = [  
           'http://www.python.org',
           'http://www.google.com',
           'http://www.baidu.com',
           'http://www.python.org/community/',
           'http://www.saltstack.com'
           ]

#pool = ThreadPool()
pool = ThreadPool(4) # Sets the pool size to 4

result = pool.map(urllib2.urlopen, urls)  
pool.close()  
pool.join()