More Control Flow Tools,Python Tutorial阅读笔记(1)

  参考资料:

  Python官网Tutorial

  注:由于感觉自己的Python还没有学通透,在看项目的代码时还是有一些困难。所以想看一下Python官网的Tutorial自学一下,我在读的时候也是略过了自己已经会的地方,所以我写的东西都是自己学到的新东西。

  规范:黑体x)表示自己学到的东西模块,是一个大概的区分。4.1,4.2表示在Tutorial中的位置。

  1)函数的参数中,关键词参数(keyword arguments)一定要在位置参数(positional arguments)后面。

  2)4.7.2 函数的定义中,*arguments表示解析一个元组,**arguments表示解析一个字典。注意,元组就好似位置参数,字典就好似关键词参数。例子如下:

def cheeseshop(kind, *arguments, **keywords):
    print("-- Do you have any", kind, "?")
    print("-- I'm sorry, we're all out of", kind)
    for arg in arguments:
        print(arg)
    print("-" * 40)
    for kw in keywords:
        print(kw, ":", keywords[kw])

  我们可以这样调用:

cheeseshop("Limburger", "It's very runny, sir.",
           "It's really very, VERY runny, sir.",
           shopkeeper="Michael Palin",
           client="John Cleese",
           sketch="Cheese Shop Sketch")

  输出如下:

-- Do you have any Limburger ?
-- I'm sorry, we're all out of Limburger
It's very runny, sir.
It's really very, VERY runny, sir.
----------------------------------------
shopkeeper : Michael Palin
client : John Cleese
sketch : Cheese Shop Sketch

  3)4.7.3 函数定义中的特殊的参数

def f(pos1, pos2, /, pos_or_kwd, *, kwd1, kwd2):
      -----------    ----------     ----------
        |             |                  |
        |        Positional or keyword   |
        |                                - Keyword only
         -- Positional only

  这种方式等于说显式的在函数定义的时候规定了参数传递的方法!比如,如果你的定义是 def kwd_only_arg(*, arg): 那么所有的参数都应该用关键词形式来传递!

  4)4.7.7函数的文档规范

>>> def my_function():
...     """Do nothing, but document it.
...
...     No, really, it doesn't do anything.
...     """
...     pass
...
>>> print(my_function.__doc__)
Do nothing, but document it.

    No, really, it doesn't do anything.

  4.7.8函数的注释规范:

>>> def f(ham: str, eggs: str = 'eggs') -> str:
...     print("Annotations:", f.__annotations__)
...     print("Arguments:", ham, eggs)
...     return ham + ' and ' + eggs
...
>>> f('spam')
Annotations: {'ham': , 'return': , 'eggs': }
Arguments: spam eggs
'spam and eggs'

  可以看到,当我们想使用注释的时候,可以用冒号标识数据类型,箭头标识返回值。

你可能感兴趣的:(python,人工智能,深度学习,nlp,property)