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docs/manual/source/conf.py

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author = 'Zoltán Vörös'
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# The full version, including alpha/beta/rc tags
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release = '2.1.1'
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release = '2.1.2'
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# -- General configuration ---------------------------------------------------

docs/manual/source/index.rst

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ulab-intro
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.. toctree::
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:maxdepth: 3
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:maxdepth: 2
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:caption: User's guide:
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ulab-ndarray

docs/manual/source/numpy-fft.rst

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Fourier transforms
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==================
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docs/manual/source/numpy-functions.rst

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Numpy functions
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===============
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13. `numpy.median <#median>`__
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14. `numpy.min <#min>`__
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15. `numpy.minimum <#minimum>`__
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16. `numpy.not_equal <#not_equal>`__
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16. `numpy.not_equal <#equal>`__
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17. `numpy.polyfit <#polyfit>`__
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18. `numpy.polyval <#polyval>`__
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19. `numpy.roll <#roll>`__
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See `numpy.max <#max>`__.
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.. code::
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# code to be run in CPython
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minimum
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-------
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``numpy``:
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https://docs.scipy.org/doc/numpy/reference/generated/numpy.minimum.html
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Returns the minimum of two arrays, or two scalars, or an array, and a
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scalar. If the arrays are of different ``dtype``, the output is upcast
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as in `Binary operators <#Binary-operators>`__. If both inputs are
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scalars, a scalar is returned. Only positional arguments are
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implemented.
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See `numpy.maximum <#maximum>`__
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maximum
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docs/manual/source/numpy-linalg.rst

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Linalg
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docs/manual/source/numpy-universal.rst

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Universal functions
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docs/manual/source/scipy-optimize.rst

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Optimize
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docs/manual/source/scipy-signal.rst

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Signal
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docs/manual/source/scipy-special.rst

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Special functions
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docs/manual/source/ulab-intro.rst

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Introduction
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============
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can easily shave tens of kB off the firmware. In fact, if only a small
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sub-set of functions are needed, you can get away with less than 10 kB
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of flash space. See the section on `customising
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ulab <#Custom_builds>`__.
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ulab <#Customising-the-firmware>`__.
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Resources and legal matters
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---------------------------
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generous and enthusiastic support of Jeff Epler from `Adafruit
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Industries <http://www.adafruit.com>`__.
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There are, however, a couple of instances, where the usage in the two
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environments is different at the python level. These are how the class
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properties can be accessed. We will point out the differences and
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possible workarounds at the relevant places in this document.
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There are, however, a couple of instances, where the two environments
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differ at the python level in how the class properties can be accessed.
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We will point out the differences and possible workarounds at the
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relevant places in this document.
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Customising ``ulab``
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====================
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Customising the firmware
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========================
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As mentioned above, ``ulab`` has considerably grown since its
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conception, which also means that it might no longer fit on the
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