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Python(技巧和坑)

Python(技巧和坑)

作者: walker_liu_fei | 来源:发表于2017-10-23 14:48 被阅读0次

    Python中几个内置函数

    #两个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 ] ], [ ] )  
    
    
    #多项式求和
    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 )
    
    #数据库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
    
    #一行并发
    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()  
    

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