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========
Examples
========
Mandelbrot
----------
.. literalinclude:: ../../../numba/tests/doc_examples/test_examples.py
:language: python
:caption: from ``test_mandelbrot`` of ``numba/tests/doc_examples/test_examples.py``
:start-after: magictoken.ex_mandelbrot.begin
:end-before: magictoken.ex_mandelbrot.end
:dedent: 12
:linenos:
.. _example-movemean:
Moving average
--------------
.. literalinclude:: ../../../numba/tests/doc_examples/test_examples.py
:language: python
:caption: from ``test_moving_average`` of ``numba/tests/doc_examples/test_examples.py``
:start-after: magictoken.ex_moving_average.begin
:end-before: magictoken.ex_moving_average.end
:dedent: 12
:linenos:
Multi-threading
---------------
The code below showcases the potential performance improvement when
using the :ref:`nogil <jit-nogil>` feature. For example, on a 4-core machine,
the following results were printed::
numpy (1 thread) 145 ms
numba (1 thread) 128 ms
numba (4 threads) 35 ms
.. note::
If preferred it's possible to use the standard `concurrent.futures
<https://docs.python.org/3/library/concurrent.futures.html>`_ module
rather than spawn threads and dispatch tasks by hand.
.. literalinclude:: ../../../numba/tests/doc_examples/test_examples.py
:language: python
:caption: from ``test_no_gil`` of ``numba/tests/doc_examples/test_examples.py``
:start-after: magictoken.ex_no_gil.begin
:end-before: magictoken.ex_no_gil.end
:dedent: 12
:linenos:
|
