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add examples of python idioms.
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@@ -75,3 +75,175 @@ Then run it on a file or series of files to get a report of any violations.
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optparse.py:472:29: E221 multiple spaces before operator
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optparse.py:544:21: W601 .has_key() is deprecated, use 'in'
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Conventions
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:::::::::::
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Here are some conventions you should follow to make your code easier to read.
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Check if variable equals a constant
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-----------------------------------
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You don't need to explicitly compare a value to True, or None, or 0 - you can
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just add it to the if statement.
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**Bad**:
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.. code-block:: python
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if attr == True:
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print 'True!'
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if attr == None:
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print 'attr is None!'
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**Good**:
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.. code-block:: python
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# Just check the value
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if attr:
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print 'True!'
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# or check for the opposite
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if not attr:
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print 'attr is None!'
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Access a Dictionary Element
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---------------------------
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Don't use the ``has_key`` function. Instead use ``x in d`` syntax, or pass
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a default argument to ``get``.
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**Bad**:
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.. code-block:: python
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d = {'hello': 'world'}
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if d.has_key('hello'):
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print d['hello'] # prints 'world'
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else:
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print 'default_value'
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**Good**:
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.. code-block:: python
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d = {'hello': 'world'}
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print d.get('hello', 'default_value') # prints 'world'
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print d.get('thingy', 'default_value') # prints 'default_value'
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# Or:
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if 'hello' in d:
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print d['hello']
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Short Ways to Manipulate Lists
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------------------------------
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`List comprehensions
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<http://docs.python.org/tutorial/datastructures.html#list-comprehensions>`_
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provide a powerful, concise way to work with lists. Also, the `map
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<http://docs.python.org/library/functions.html#map>`_ and `filter
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<http://docs.python.org/library/functions.html#filter>`_ functions can perform
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operations on lists using a different concise syntax.
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**Bad**:
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.. code-block:: python
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# Filter elements less than 5
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a = [3, 4, 5]
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b = []
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for i in a:
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if a > 4:
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b.append(a)
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**Good**:
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.. code-block:: python
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b = [i for i in a if i > 4]
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b = filter(lambda x: x > 4, a)
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**Bad**:
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.. code-block:: python
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# Add three to all list members.
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a = [3, 4, 5]
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count = 0
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for i in a:
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a[count] = i + 3
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count = count + 1
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**Good**:
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.. code-block:: python
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a = [3, 4, 5]
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a = [i + 3 for i in a]
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# Or:
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a = map(lambda i: i + 3, a)
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Use `enumerate <http://docs.python.org/library/functions.html#enumerate>`_ to
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keep a count of your place in the list.
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.. code-block:: python
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for i, item in a:
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print i + ", " + item
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# prints
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# 0, 3
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# 1, 4
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# 2, 5
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Read From a File
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----------------
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Use the ``with open`` syntax to read from files. This will automatically close
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files for you.
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**Bad**:
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.. code-block:: python
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f = open('file.txt')
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a = f.read()
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print a
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f.close()
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**Good**:
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.. code-block:: python
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with open('file.txt') as f:
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for line in f:
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print line
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Returning Multiple Values from a Function
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-----------------------------------------
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Python supports returning multiple values from a function as a comma-separated
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list, so you don't have to create an object or dictionary and pack multiple
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values in before you return
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**Bad**:
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.. code-block:: python
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def math_func(a):
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return {'square': a ** 2, 'cube': a ** 3}
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d = math_func(3)
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s = d['square']
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c = d['cube']
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**Good**:
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.. code-block:: python
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def math_func(a):
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return a ** 2, a ** 3
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square, cube = math_func(3)
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