我真的想不出Python需要del关键字的任何原因(而且大多数语言似乎都没有类似的关键字)。例如,与其删除变量,还不如将None赋值给它。当从字典中删除时,可以添加del方法。
在Python中保留del是有原因的吗,还是它是Python前垃圾收集时代的遗迹?
我真的想不出Python需要del关键字的任何原因(而且大多数语言似乎都没有类似的关键字)。例如,与其删除变量,还不如将None赋值给它。当从字典中删除时,可以添加del方法。
在Python中保留del是有原因的吗,还是它是Python前垃圾收集时代的遗迹?
当前回答
del is the equivalent of "unset" in many languages and as a cross reference point moving from another language to python.. people tend to look for commands that do the same thing that they used to do in their first language... also setting a var to "" or none doesn't really remove the var from scope..it just empties its value the name of the var itself would still be stored in memory...why?!? in a memory intensive script..keeping trash behind its just a no no and anyways...every language out there has some form of an "unset/delete" var function..why not python?
其他回答
I think one of the reasons that del has its own syntax is that replacing it with a function might be hard in certain cases given it operates on the binding or variable and not the value it references. Thus if a function version of del were to be created a context would need to be passed in. del foo would need to become globals().remove('foo') or locals().remove('foo') which gets messy and less readable. Still I say getting rid of del would be good given its seemingly rare use. But removing language features/flaws can be painful. Maybe python 4 will remove it :)
只是另一种想法。
当在Django这样的框架中调试http应用程序时,调用堆栈中充满了以前使用过的无用和混乱的变量,特别是当它是一个非常长的列表时,这对开发人员来说是非常痛苦的。因此,在这一点上,名称空间控制可能是有用的。
Del删除变量及其所指向的对象的绑定。
>>> a = ['a', 'b', 'c']
>>> b = a
>>> del a
>>> b
['a', 'b', 'c']
>>> a
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
NameError: name 'a' is not defined
我能想到的一个简单的用例是,如果你已经使用内置函数名作为变量,并且你想在它已经被你的变量名“覆盖”之后使用该函数。
t = ('a', "letter")
value, type = t
print(value, type)
del type
print(type(value))
输出:
a letter
<class 'str'>
"del"命令对于控制数组中的数据非常有用,例如:
elements = ["A", "B", "C", "D"]
# Remove first element.
del elements[:1]
print(elements)
输出:
[' b ', ' c ', ' d ']
由于我还没有看到交互式控制台的答案,我将展示一个。
当foo=None时,该引用和对象存在,它不指向它。
而del foo也会销毁对象和引用。
如果你这样做如果foo是None并且它被删除了它就会升起NameError作为引用,它的对象所有介于两者之间的东西都会被del删除
删除目标列表会递归地从左到右删除每个目标。
与此同时,foo=None只是一个指向None的引用,因此引用仍然是有效的,对象也是如此。
[…在Python中,变量是对象的引用,任何变量都可以引用任何对象[…]
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