Merge branch 'master' of github.com:quantifiedcode/python-code-patterns

adewes · adewes · commit a291d76f53ce · 2015-04-24T17:18:02.000+02:00
diff --git a/docs/correctness/indentation_contains_mixed_spaces_and_tabs.rst b/docs/correctness/indentation_contains_mixed_spaces_and_tabs.rst
@@ -6,7 +6,7 @@ Per the PEP 8 Style Guide, all Python code should be consistently indented with
 Example
 -------
 
-The following code mixes spaces and tabs for indentation. The ``print "Hello, World!" statement is indented with a tab. The ``print "Goodybye, World!"`` statement is indented with 4 spaces.
+The following code mixes spaces and tabs for indentation. The ``print "Hello, World!"`` statement is indented with a tab. The ``print "Goodybye, World!"`` statement is indented with 4 spaces.
 
 .. code:: python
 
diff --git a/docs/correctness/mutable_default_value_as_argument.rst b/docs/correctness/mutable_default_value_as_argument.rst
@@ -1,4 +1,4 @@
-Using a dangerous default value as an argument
+Using a mutable default value as an argument
 ==============================================
 
 Passing mutable lists or dictionaries as default arguments to a function can have unforeseen consequences. Usually when a programmer uses a list or dictionary as the default argument to a function, the programmer wants the program to create a new list or dictionary every time that the function is called. However, this is not what Python does. The first time that the function is called, Python creates a persistent object for the list or dictionary. Every subsequent time the function is called, Python uses that same persistent object that was created from the first call to the function.

Original file line number	Diff line number	Diff line change
`@@ -1,4 +1,4 @@`
`1`		`-Using a dangerous default value as an argument`
	`1`	`+Using a mutable default value as an argument`
`2`	`2`	`==============================================`
`3`	`3`
`4`	`4`	Passing mutable lists or dictionaries as default arguments to a function can have unforeseen consequences. Usually when a programmer uses a list or dictionary as the default argument to a function, the programmer wants the program to create a new list or dictionary every time that the function is called. However, this is not what Python does. The first time that the function is called, Python creates a persistent object for the list or dictionary. Every subsequent time the function is called, Python uses that same persistent object that was created from the first call to the function.