======== 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: