The pyam package
This page collects tutorials and presentations related to the open-source Python package pyam for scenario analysis & visualization.
Read the docs to learn more about the package.
Intro video about the pyam package
This video is part of the IAMC Youtube channel.
European Climate and Energy Modelling Platform 2022 (October 6, 2022)
This “Skills Workshop” at the European Climate and Energy Modelling Platform 2022 conference (ECEMP) covered how to use the pyam package for simple scenario analysis, data visualization and computation of derived indicators. In addition, it was shown how to load scenario data directly from an IIASA Scenario Explorer instance (e.g., the scenario ensemble supporting the IPCC AR6 WG3 report) into a Python computing environment for processing and analysis.
Related material:
Presentation slides: https://zenodo.org/record/7150257 and
Tutorial notebook: https://github.com/phackstock/ECEMP-pyam-tutorial
ENGAGE Capacity Building Workshop (February 1, 2022)
At a capacity-building workshop on good modeling practices organized by the Horizon 2020 project ENGAGE on February 1, 2022, Daniel Huppmann and Philip Hackstock presented an overview and live demo of the pyam package.
Presentation slides: https://pure.iiasa.ac.at/id/eprint/17783
Tutorial notebook: https://github.com/danielhuppmann/ENGAGE-pyam-tutorial (release 1.0)
Presentation at the Strommarkttreffen (July 14, 2021)
At an online meeting of the Strommarkttreffen on July 14, 2021, Daniel Huppmann presented an overview and live demo of the pyam package.
Presentation slides (german/english): https://pure.iiasa.ac.at/id/eprint/17319
Tutorial notebook (english): https://github.com/danielhuppmann/strommarkttreffen-pyam