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changing many instances of the same grammar error in documentation

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jeremy
2014-09-09 17:03:59 -05:00
parent f03b11d271
commit 56091bae1f
11 changed files with 11 additions and 11 deletions
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2
doc/py_tutorials/py_core/py_basic_ops/py_basic_ops.rst
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@@ -49,7 +49,7 @@ You can modify the pixel values the same way.
.. warning:: Numpy is a optimized library for fast array calculations. So simply accessing each and every pixel values and modifying it will be very slow and it is discouraged.
.. note:: Above mentioned method is normally used for selecting a region of array, say first 5 rows and last 3 columns like that. For individual pixel access, Numpy array methods, ``array.item()`` and ``array.itemset()`` is considered to be more better. But it always returns a scalar. So if you want to access all B,G,R values, you need to call ``array.item()`` separately for all.
.. note:: Above mentioned method is normally used for selecting a region of array, say first 5 rows and last 3 columns like that. For individual pixel access, Numpy array methods, ``array.item()`` and ``array.itemset()`` is considered to be better. But it always returns a scalar. So if you want to access all B,G,R values, you need to call ``array.item()`` separately for all.
Better pixel accessing and editing method :

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doc/py_tutorials/py_core/py_optimization/py_optimization.rst
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@@ -75,7 +75,7 @@ Measuring Performance in IPython
Sometimes you may need to compare the performance of two similar operations. IPython gives you a magic command ``%timeit`` to perform this. It runs the code several times to get more accurate results. Once again, they are suitable to measure single line codes.
For example, do you know which of the following addition operation is more better, ``x = 5; y = x**2``, ``x = 5; y = x*x``, ``x = np.uint8([5]); y = x*x`` or ``y = np.square(x)`` ? We will find it with %timeit in IPython shell.
For example, do you know which of the following addition operation is better, ``x = 5; y = x**2``, ``x = 5; y = x*x``, ``x = np.uint8([5]); y = x*x`` or ``y = np.square(x)`` ? We will find it with %timeit in IPython shell.
::
In [10]: x = 5