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-rw-r--r--zh-cn/python3-cn.html.markdown29
1 files changed, 12 insertions, 17 deletions
diff --git a/zh-cn/python3-cn.html.markdown b/zh-cn/python3-cn.html.markdown
index 2c1c03f8..a490ea40 100644
--- a/zh-cn/python3-cn.html.markdown
+++ b/zh-cn/python3-cn.html.markdown
@@ -406,24 +406,22 @@ add(5, 6) # => 印出"x is 5 and y is 6"并且返回11
add(y=6, x=5) # 关键字参数可以用任何顺序
-# You can define functions that take a variable number of
-# positional arguments
+# 我们可以定义一个可变参数函数
def varargs(*args):
return args
varargs(1, 2, 3) # => (1, 2, 3)
-# You can define functions that take a variable number of
-# keyword arguments, as well
+# 我们也可以定义一个关键字可变参数函数
def keyword_args(**kwargs):
return kwargs
-# Let's call it to see what happens
+# 我们来看看结果是什么:
keyword_args(big="foot", loch="ness") # => {"big": "foot", "loch": "ness"}
-# You can do both at once, if you like
+# 这两种可变参数可以混着用
def all_the_args(*args, **kwargs):
print(args)
print(kwargs)
@@ -433,8 +431,7 @@ all_the_args(1, 2, a=3, b=4) prints:
{"a": 3, "b": 4}
"""
-# When calling functions, you can do the opposite of args/kwargs!
-# Use * to expand tuples and use ** to expand kwargs.
+# 调用可变参数函数时可以做跟上面相反的,用*展开序列,用**展开字典。
args = (1, 2, 3, 4)
kwargs = {"a": 3, "b": 4}
all_the_args(*args) # equivalent to foo(1, 2, 3, 4)
@@ -442,25 +439,25 @@ all_the_args(**kwargs) # equivalent to foo(a=3, b=4)
all_the_args(*args, **kwargs) # equivalent to foo(1, 2, 3, 4, a=3, b=4)
-# Function Scope
+# 函数作用域
x = 5
def setX(num):
- # Local var x not the same as global variable x
+ # 局部作用域的x和全局域的x是不同的
x = num # => 43
print (x) # => 43
def setGlobalX(num):
global x
print (x) # => 5
- x = num # global var x is now set to 6
+ x = num # 现在全局域的x被赋值
print (x) # => 6
setX(43)
setGlobalX(6)
-# Python has first class functions
+# 函数在Python是一等公民
def create_adder(x):
def adder(y):
return x + y
@@ -469,16 +466,14 @@ def create_adder(x):
add_10 = create_adder(10)
add_10(3) # => 13
-# There are also anonymous functions
+# 也有匿名函数
(lambda x: x > 2)(3) # => True
-# TODO - Fix for iterables
-# There are built-in higher order functions
+# 内置的高阶函数
map(add_10, [1, 2, 3]) # => [11, 12, 13]
filter(lambda x: x > 5, [3, 4, 5, 6, 7]) # => [6, 7]
-# We can use list comprehensions for nice maps and filters
-# List comprehension stores the output as a list which can itself be a nested list
+# 用列表推导式可以简化映射和过滤。列表推导式的返回值是另一个列表。
[add_10(i) for i in [1, 2, 3]] # => [11, 12, 13]
[x for x in [3, 4, 5, 6, 7] if x > 5] # => [6, 7]