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.
This video is part of the IAMC Youtube channel.
Daniel Huppmann presented an overview and live demo of the pyam package at the NAVIGATE-ENGAGE Summer School on Integrated Assessment Modeling (July 2023).
- Presentation slides: https://doi.org/10.5281/zenodo.8112529
- Tutorial notebook: https://github.com/danielhuppmann/ENGAGE-pyam-tutorial (release 2.0)
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
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)
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