From Newsgroup: comp.lang.python.announce

Dear Pythonistas and solar power enthusiasts,

The maintainers are happy to announce a new release of pvlib python:
software for simulating performance of photovoltaic solar energy systems.

*See what's new for v0.9.3:*
** *https://pvlib-python.readthedocs.io/en/stable/whatsnew.html

*Releases are available from PyPI and the conda-forge channel:*
* https://pypi.org/project/pvlib/
* https://anaconda.org/conda-forge/pvlib
* https://anaconda.org/conda-forge/pvlib-python

*Note: you can now install from conda-forge using either "pvlib" or "pvlib-python"*

*Read the Documentation:*
* https://pvlib-python.readthedocs.io/en/stable/index.html

*Report issues & contribute:*
* https://github.com/pvlib/pvlib-python

*Highlights:*
* Anton Driesse has joined the maintainers. Anton has been a consistent contributor, a frequent poster on Google Groups, and a fixture in the PV modeling community for many years. We gladly welcome Anton and are grateful
for his support.
* Several new functions to calculate spectral mismatch <https://pvlib-python.readthedocs.io/en/stable/reference/generated/pvlib.spectrum.calc_spectral_mismatch_field.html#pvlib.spectrum.calc_spectral_mismatch_field>
of
photovoltaic devices between incident and reference spectra. Compare this
to the existing FSLR spectral mismatch function.
* The Townsend snow loss model <https://pvlib-python.readthedocs.io/en/stable/reference/generated/pvlib.snow.loss_townsend.html#pvlib.snow.loss_townsend>
is
now available. Compare this with the existing snow loss model from Marion.
* A new generic linear temperature model <https://pvlib-python.readthedocs.io/en/stable/reference/generated/pvlib.temperature.generic_linear.html#pvlib.temperature.generic_linear>
function
and class that can convert between PVsyst, Faiman, and SAPM thermal model coefficients.
* A new altitude look-up function <https://pvlib-python.readthedocs.io/en/stable/reference/generated/pvlib.location.lookup_altitude.html#pvlib.location.lookup_altitude>
using
public data from Mapzen, a project for open map data hosted by AWS.
* There were four new first time contributors! Thank you!
* There was a training using JupyterHub at PVPMC 2022 <https://pvsc-python-tutorials.github.io/PVPMC_2022>. Check it out!

*Thank you for using pvlib python!*
--
Mark Mikofski, PhD (2005)
*Fiat Lux*
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