4.9. Summary
4.9 小结
The apihelper.py program and its
output should now make perfect sense.
整个程序apihelper.py以及它的输出现在都有意义了
- def info(object, spacing=10, collapse=1):
-
"""Print methods and doc strings.
-
-
Takes module, class, list, dictionary, or string."""
-
methodList = [method for method in dir(object) if callable(getattr(object, method))]
-
processFunc = collapse and (lambda s: " ".join(s.split())) or (lambda s: s)
-
print "\n".join(["%s %s" %
-
(method.ljust(spacing),
-
processFunc(str(getattr(object, method).__doc__)))
-
for method in methodList])
-
-
if __name__ == "__main__":
-
print info.__doc__
-
Here is the output of apihelper.py:
-
-
这是函数的输出
-
-
>>> from apihelper import info
-
>>> li = []
-
>>> info(li)
-
append L.append(object) -- append object to end
-
count L.count(value) -> integer -- return number of occurrences of value
-
extend L.extend(list) -- extend list by appending list elements
-
index L.index(value) -> integer -- return index of first occurrence of value
-
insert L.insert(index, object) -- insert object before index
-
pop L.pop([index]) -> item -- remove and return item at index (default last)
-
remove L.remove(value) -- remove first occurrence of value
-
reverse L.reverse() -- reverse *IN PLACE*
-
sort L.sort([cmpfunc]) -- sort *IN PLACE*; if given, cmpfunc(x, y) -> -1, 0, 1
Before diving into the next chapter, make sure you're
comfortable doing all of these things:
在继续阅读下章之前,请确保你自己已经掌握了下面的知识点:
- Defining
and calling functions with optional and named arguments
- 定义以及调用一个带有可选参数的函数
- Using str to coerce any arbitrary value into a
string representation
- 使用str强制转换任意属性值为一个字符串形式。
- Using getattr to get
references to functions and other attributes dynamically
- 使用getattr来动态获得函数以及其它属性的引用
- Extending
the list comprehension syntax to do list filtering
- 扩展list综合操作语法来实现链表过滤
- Recognizing the and-or trick and using it safely
- 识别and-or技巧同时能够安全的使用它。
- Defining lambda functions
- 定义lambda函数
- Assigning functions to variables and
calling the function by referencing the variable. I can't emphasize this
enough, because this mode of thought is vital to advancing your
understanding of Python. You'll see more complex applications of this
concept throughout this book.
- 将函数赋值给变量并通过引用变量来调用函数。对于这点,我强调的还不够多,这是因为这中思考方式对于提高你对python的理解至关重要。在本书你会看到更多的关于这种概念的复杂应用。
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