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Diffstat (limited to 'numpy/doc/glossary.py')
| -rw-r--r-- | numpy/doc/glossary.py | 22 |
1 files changed, 20 insertions, 2 deletions
diff --git a/numpy/doc/glossary.py b/numpy/doc/glossary.py index 9b7d613ba..8c1f0963a 100644 --- a/numpy/doc/glossary.py +++ b/numpy/doc/glossary.py @@ -48,7 +48,7 @@ Glossary array([(1, 2.0), (3, 4.0)], dtype=[('x', '<i4'), ('y', '<f8')]) - Fast element-wise operations, called :term:`ufuncs`, operate on arrays. + Fast element-wise operations, called a :term:`ufunc`, operate on arrays. array_like Any sequence that can be interpreted as an ndarray. This includes @@ -62,6 +62,12 @@ Glossary >>> x.shape (3,) + big-endian + When storing a multi-byte value in memory as a sequence of bytes. the + sequence addresses/sends/stores the most significant byte first (lowest + address) and the least significant byte last (highest address). Common in + micro-processors and used for transmission of data over network protocols. + BLAS `Basic Linear Algebra Subprograms <http://en.wikipedia.org/wiki/BLAS>`_ @@ -158,6 +164,12 @@ Glossary Collapsed to a one-dimensional array. See `numpy.ndarray.flatten` for details. + homogenous + Describes a block of memory comprised of blocks, each block comprised of + items and of the same size, and blocks are interpreted in exactly the + same way. In the simplest case each block contains a single item, for + instance int32 or float64. + immutable An object that cannot be modified after execution is called immutable. Two common examples are strings and tuples. @@ -224,6 +236,12 @@ Glossary tutorial <http://docs.python.org/tut>`_. For a mapping type (key-value), see *dictionary*. + little-endian + When storing a multi-byte value in memory as a sequence of bytes. the + sequence addresses/sends/stores the least significant byte first (lowest + address) and the most significant byte last (highest address). Common in + x86 processors. + mask A boolean array, used to select only certain elements for an operation:: @@ -285,7 +303,7 @@ Glossary See *array*. record array - An :term:`ndarray` with :term:`structured data type`_ which has been + An :term:`ndarray` with :term:`structured data type` which has been subclassed as ``np.recarray`` and whose dtype is of type ``np.record``, making the fields of its data type to be accessible by attribute. |