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bianxiaokai
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‎.idea/.gitignore

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‎.idea/inspectionProfiles/profiles_settings.xml

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‎.idea/misc.xml

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‎.idea/modules.xml

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‎.idea/python-demo.iml

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‎.idea/vcs.xml

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‎function.py

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@@ -229,3 +229,26 @@ def g():
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print(f1())
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print(f2())
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print(f3())
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# 一个函数可以返回一个计算结果，也可以返回一个函数。
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# 返回一个函数时，牢记该函数并未执行，返回函数中不要引用任何可能会变化的变量。
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def createCounter():
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x = 0
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def counter():
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nonlocal x # 如果对外层变量赋值，由于Python解释器会把x当作函数fn()的局部变量，它会报错：
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x = x + 1
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return x
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return counter
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counterA = createCounter()
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print(counterA(), counterA(), counterA(), counterA(), counterA())
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# lambda函名函数
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def is_odd(n):
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return n % 2 == 1
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L = list(filter(lambda n: n % 2 == 1, range(1, 20)))
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print(L)

‎if.py

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# else:
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# print('00后')
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print(84.5 / (1.75 ** 2))
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height = 1.75
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weight = 83.3
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height = 1.76
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weight = 75
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bmi = weight / (height ** 2)
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print('bmi = %.f' % bmi)

‎partial.py

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from functools import partial
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int2 = partial(int, base=2)
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print(int2('1010101'))
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# int2 = functools.partial(参数1，参数2，参数3)
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# 参数1：函数对象，
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# 参数2：*args 可变参数，接收tuple，list
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# 参数3：*kw 关键字参数，接收dict
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# int2 = functools.partial(int，10，base=10)
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# 参数1必填，参数2和参数3可省略，那就和原函数没区别了，因为参数1就是原函数，参数2就是可变参数，参数3为关键字参数，int自带关键字参数base，当不传为默认值，传入时必须以base=xxx的形式，对应原始的关键字，参数2传入的话会组装成tuple或list，
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# 再通过*args 传入int（*args）
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# 偏函数可以简化参数操作。
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# 当函数的某个参数是我们可以提前获知的，那我们就可以将它固定住！
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# 定义一个取余函数，默认和2取余；
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def mod(x, y=2):
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# 返回 True 或 False
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return x % y == 0
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# 假设我们要计算和3取余，如果不使用partial()函数，那么我们每次调用mod()函数时，都要写y=3
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mod(4, y=3)
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mod(6, y=3)
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# 使用partial()函数
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mod_3 = partial(mod, y=3)

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