.. _sphx_glr_auto_examples_numpy:

.. _numpy:

4. numpy
---------

Tutorials concerning `numpy library <https://numpy.org>`_ .


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    <div class="sphx-glr-thumbcontainer" tooltip="4.1 understanding dimensions/axis">

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  .. image:: /auto_examples/numpy/images/thumb/sphx_glr_dimensions_axis_thumb.png
    :alt: 4.1 understanding dimensions/axis

  :ref:`sphx_glr_auto_examples_numpy_dimensions_axis.py`

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      <div class="sphx-glr-thumbnail-title">4.1 understanding dimensions/axis</div>
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    <div class="sphx-glr-thumbcontainer" tooltip="This lesson illustrates difference between stack, vstack, hstack, column_stack, row_stack and c...">

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  .. image:: /auto_examples/numpy/images/thumb/sphx_glr_stack_vs_concatenate_thumb.png
    :alt: 4.2 stacking vs concatenating

  :ref:`sphx_glr_auto_examples_numpy_stack_vs_concatenate.py`

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      <div class="sphx-glr-thumbnail-title">4.2 stacking vs concatenating</div>
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    <div class="sphx-glr-thumbcontainer" tooltip="This file describes the concept of quantile and how to cclculate it in numpy and various functi...">

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  .. image:: /auto_examples/numpy/images/thumb/sphx_glr_digitize_thumb.png
    :alt: 4.3 quantile and digitize

  :ref:`sphx_glr_auto_examples_numpy_digitize.py`

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      <div class="sphx-glr-thumbnail-title">4.3 quantile and digitize</div>
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.. toctree::
   :hidden:

   /auto_examples/numpy/dimensions_axis
   /auto_examples/numpy/stack_vs_concatenate
   /auto_examples/numpy/digitize