Data Types (dtype)
==================

.. currentmodule:: numpycore

numpyCore Python provides NumPy-compatible data types for array elements.

Example
-------

.. code-block:: python

   import numpycore as np

   # Create arrays with specific dtypes
   arr_float = np.array([1, 2, 3], dtype=np.float64)
   arr_int = np.array([1.5, 2.5, 3.5], dtype=np.int32)

   # Check dtype
   print(arr_float.dtype)  # float64
   print(arr_int.dtype)    # int32

Numeric Types
-------------

.. list-table::
   :widths: 20 20 60
   :header-rows: 1

   * - Type
     - Alias
     - Description
   * - float64
     - float_, double
     - 64-bit floating point
   * - float32
     - single
     - 32-bit floating point
   * - int64
     - int_, long
     - 64-bit signed integer
   * - int32
     - intc
     - 32-bit signed integer
   * - int16
     - short
     - 16-bit signed integer
   * - int8
     - byte
     - 8-bit signed integer
   * - uint64
     - ulong
     - 64-bit unsigned integer
   * - uint32
     - uintc
     - 32-bit unsigned integer
   * - uint16
     - ushort
     - 16-bit unsigned integer
   * - uint8
     - ubyte
     - 8-bit unsigned integer

Complex Types
-------------

.. list-table::
   :widths: 20 20 60
   :header-rows: 1

   * - Type
     - Alias
     - Description
   * - complex128
     - cdouble
     - Complex with two 64-bit floats
   * - complex64
     - csingle
     - Complex with two 32-bit floats

Boolean Type
------------

.. list-table::
   :widths: 20 20 60
   :header-rows: 1

   * - Type
     - Alias
     - Description
   * - bool_
     - bool8
     - Boolean (True/False)

dtype Attributes
----------------

.. list-table::
   :widths: 25 75
   :header-rows: 1

   * - Attribute
     - Description
   * - name
     - Name of the data type
   * - kind
     - Character code for data type kind
   * - itemsize
     - Size of element in bytes
   * - byteorder
     - Byte order ('=' native, '<' little, '>' big)
   * - char
     - Single character type string