Python编程语言中有哪些鲜为人知但很有用的特性?

尽量将答案限制在Python核心。 每个回答一个特征。 给出一个例子和功能的简短描述,而不仅仅是文档链接。 使用标题作为第一行标记该特性。

快速链接到答案:

参数解包 牙套 链接比较运算符 修饰符 可变默认参数的陷阱/危险 描述符 字典默认的.get值 所以测试 省略切片语法 枚举 其他/ 函数作为iter()参数 生成器表达式 导入该 就地值交换 步进列表 __missing__物品 多行正则表达式 命名字符串格式化 嵌套的列表/生成器推导 运行时的新类型 .pth文件 ROT13编码 正则表达式调试 发送到发电机 交互式解释器中的制表符补全 三元表达式 试着/ / else除外 拆包+打印()函数 与声明


当前回答

你可以按需构造kwargs函数:

kwargs = {}
kwargs[str("%s__icontains" % field)] = some_value
some_function(**kwargs)

str()调用在某种程度上是需要的,因为python会抱怨它不是字符串。不知道为什么;) 我在django对象模型中使用这个动态过滤器:

result = model_class.objects.filter(**kwargs)

其他回答

元组在for循环、列表推导式和生成器表达式中的解包:

>>> l=[(1,2),(3,4)]
>>> [a+b for a,b in l ] 
[3,7]

在这个习语中,用于迭代字典中的(键,数据)对:

d = { 'x':'y', 'f':'e'}
for name, value in d.items():  # one can also use iteritems()
   print "name:%s, value:%s" % (name,value)

打印:

name:x, value:y
name:f, value:e

操作符重载的集合内置:

>>> a = set([1,2,3,4])
>>> b = set([3,4,5,6])
>>> a | b # Union
{1, 2, 3, 4, 5, 6}
>>> a & b # Intersection
{3, 4}
>>> a < b # Subset
False
>>> a - b # Difference
{1, 2}
>>> a ^ b # Symmetric Difference
{1, 2, 5, 6}

更多详细信息请参阅标准库参考:Set Types

进口反重力

Python的禅宗

>>> import this
The Zen of Python, by Tim Peters

Beautiful is better than ugly.
Explicit is better than implicit.
Simple is better than complex.
Complex is better than complicated.
Flat is better than nested.
Sparse is better than dense.
Readability counts.
Special cases aren't special enough to break the rules.
Although practicality beats purity.
Errors should never pass silently.
Unless explicitly silenced.
In the face of ambiguity, refuse the temptation to guess.
There should be one-- and preferably only one --obvious way to do it.
Although that way may not be obvious at first unless you're Dutch.
Now is better than never.
Although never is often better than *right* now.
If the implementation is hard to explain, it's a bad idea.
If the implementation is easy to explain, it may be a good idea.
Namespaces are one honking great idea -- let's do more of those!

按以下方式访问字典元素 属性(属性)。所以如果 a1=AttrDict()有键'name' -> 而不是a1['name'],我们可以很容易 使用->访问a1的名称属性 a1.name


class AttrDict(dict):

    def __getattr__(self, name):
        if name in self:
            return self[name]
        raise AttributeError('%s not found' % name)

    def __setattr__(self, name, value):
        self[name] = value

    def __delattr__(self, name):
        del self[name]

person = AttrDict({'name': 'John Doe', 'age': 66})
print person['name']
print person.name

person.name = 'Frodo G'
print person.name

del person.age

print person