.. module:: dpnp

The Data Parallel Extension for NumPy* (dpnp package) - a library that implements a subset of `NumPy*`_ that can be executed on any data parallel device. The subset is a drop-in replacement of core `NumPy*`_ functions and numerical data types.

The Data Parallel Extension for NumPy* is being developed as part of `Intel AI Analytics Toolkit`_ and is distributed with the `Intel Distribution for Python*`_. The dpnp package is also available on Anaconda cloud. Please refer the :doc:`quick_start_guide` page to learn more.

Being drop-in replacement for `NumPy*`_ means that the usage is very similar:

>>> import dpnp as np

The :class:`dpnp.ndarray` class is a compatible alternative of :class:`numpy.ndarray`.

>>> x = np.array([1, 2, 3])

x in the above example is an instance of :class:`dpnp.ndarray` that is created identically to NumPy*'s one. The key difference of :class:`dpnp.ndarray` from :class:`numpy.ndarray` is that the memory is allocated on the default `SYCL*`_ device, which is a "gpu" on systems with integrated or discrete GPU (otherwise it is the "host" device on systems that do not have GPU).

Most of the array manipulations are also done in the way similar to `NumPy*`_ such as:

>>> s = np.sum(x)

Please see the :ref:`API Reference <dpnp_reference>` for the complete list of supported `NumPy*`_ APIs along with their limitations.