movie_people=["sb+_alex","sb_wupeiqi","han"]# def filter_test(array):#     ret=[]#     for p in array:#         if not p.startswith('sb'):#             ret.append(p)##     return ret## end=filter_test(movie_people)# print(end)# movie_people=["alex","sb_wupeiqi","han_sb"]# def sb_show(n):#     return n.endswith('sb')## def filter_test(func,array):#     ret=[]#     for p in array:#         if not func(p):#             ret.append(p)##     return ret## end=filter_test(sb_show,movie_people)# print(end)#终极版本#lambda n:n.startwith('sb')def filter_test(func,array):#注意在函数调用中,尽量不要直接传入全局变量,这会修改全局变量的值,尽量使用参数赋值    ret=[]    for p in array:        if not func(p):            ret.append(p)    return retres=filter_test(lambda n:n.startswith('sb'),movie_people)print(res)#filter函数print(list(filter(lambda n: not n.startswith('sb'),movie_people)))

 

num_1=[1,2,3,4,5,6,100]res=0for num in num_1:    res+=numprint(res)# def multi(x,y):#     return x*y#lambda:x,y:x*y#num_l=[1,2,3,100]# def reduce_test(func,array):#     res=array[0]#     for num in array:#         res=func(res,num)#     return res# print(reduce_test(lambda x,y:x*y,num_l))num_l=[1,2,3,100]def reduce_test(func,array,init=None):    # 代码中经常会有变量是否为None的判断，有三种主要的写法：    # 第一种是    # ` if x is None    # `；    # 第二种是    # ` if not x：`；    # 第三种是    # ` if not x is None    # `（这句这样理解更清晰    # ` if not (x is None)    # `）    if  not init:#init是否为none        res=array.pop(0)    else:        res=init    for num in array:        res=func(res,num)    return resprint(reduce_test(lambda x,y:x*y,num_l,100))from functools import reduce#reduce函数:合并序列得出最终结果print(reduce(lambda x,y:x*y,num_l,100))

 

#处理序列中的每个元素,得到的结果是一个'列表',该'列表'元素个数及位置与原来一样 #map() #fileter遍历序列中的每个元素,判断每个元素得到布尔值,如果是True则留下来,得到结果是一个列表 people=[{"name":"alex","age":10000},{"name":"han","age":1000},{"name":"ou","age":18}] print(list(filter(lambda p:p['age']<=18,people))) #reduce:处理一个序列,然后把序列进行合并操作 from  functools import reduce print(reduce(lambda x,y:x+y,range(100),100))#参数3初始值