[SciPy-User] ANN: pvlib-0.9.0 released

[Dr. Mark Alexander Mikofski PhD]

  Dear Pythonistas and solar power enthusiasts,

On behalf of the maintainers, we're happy to announce a new release of
pvlib python:
software for simulating performance of photovoltaic solar energy systems.

*See what's new for v0.9.0:*
* 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-python

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

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

*Highlights:*
* There are some breaking changes
<https://pvlib-python.readthedocs.io/en/stable/whatsnew.html#breaking-changes>,
so please read the Release Notes carefully before updating.
* pvlib now has a new Array class
<https://pvlib-python.readthedocs.io/en/stable/generated/pvlib.pvsystem.Array.html>
that
represents groups of identical modules that are part of a PVSystem but have
the same orientation and mounting type.
* The PVSystem class
<https://pvlib-python.readthedocs.io/en/stable/generated/pvlib.pvsystem.PVSystem.html>
can
now model a combination of arrays each with different orientations,
modules, and mounting types.
* pvlib completed a very successful GSoC
<https://summerofcode.withgoogle.com/>, which added several new iotools
like get_bsrn()
<https://pvlib-python.readthedocs.io/en/stable/generated/pvlib.iotools.get_bsrn.html>
, get_pvgis_hourly()
<https://pvlib-python.readthedocs.io/en/stable/generated/pvlib.iotools.read_pvgis_hourly.html>
, get_cams()
<https://pvlib-python.readthedocs.io/en/stable/generated/pvlib.iotools.get_cams.html>,
and more. Special thanks to Adam R. Jensen <https://predictablysunny.com/>,
Kevin Anderson, and many reviewers who helped!
* Many bug fixes
<https://pvlib-python.readthedocs.io/en/stable/whatsnew.html#bug-fixes>
including
a fix to Perez <https://github.com/pvlib/pvlib-python/issues/1238> contributed
by Clean Power Research. Read their blog
<https://www.solaranywhere.com/2021/pvlib-models-via-solaranywhere-joins-pvlib-community/>
to
learn more about how they're contributing to pvlib. Thanks!

*The maintainers thank you for using pvlib python!*


-- 
Mark Mikofski, PhD (2005)
*Fiat Lux*
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <https://mail.python.org/pipermail/scipy-user/attachments/20210903/9aafc66c/attachment.html>