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...> 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.PVSys...> 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_bs...> , get_pvgis_hourly() <https://pvlib-python.readthedocs.io/en/stable/generated/pvlib.iotools.read_p...> , get_cams() <https://pvlib-python.readthedocs.io/en/stable/generated/pvlib.iotools.get_ca...>, 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-pvli...> 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*