Dear pyam user community, My colleague Philip Hackstock looked into a few performance issues and found a way to improve speed and memory usage when writing to xlsx spreadsheets. This can be quite useful for you when you are processing larger files. So we’re happy to announce a new release v1.6 of the pyam package! # Highlights of the new release - Improved performance for writing data to xlsx spreadsheets - Better integration with the IIASA Scenario Explorer database API - Support for filtering by model-scenario pairs with an index argument # Skills Workshop at the ECEMEP 2022 Philip will also do a Skills Workshop at the ECEMEP 2022 conference (Thursday October 6, 9:00-10:30 CEST) - maybe useful if you didn’t have a chance yet to try out pyam in detail, or if you would like to see more of its features in practice for scenario analysis, visualization and computation of derived variables or indicators. Sign up for the conference at https://ecemp2022.b2match.io. # Join the Slack workspace? If you want to ask questions or read tips-and-tricks from time to time on how to use pyam more effectively in your scenario analysis or data-viz work, maybe consider joining our Slack workspace? For more information, please read the full release notes... Best regards, Daniel — Dr. Daniel HUPPMANN Research Scholar Coordinator of the Research Theme „Scenario Services & Scientific Software" Energy, Climate, and Environment (ECE) Program email: huppmann@...: www.iiasa.ac.at/staff/daniel-huppmann Twitter: @daniel_huppmann International Institute for Applied Systems Analysis Schlossplatz 1, A-2361 Laxenburg, Austria | www.iiasa.ac.at

Dear pyam user community, happy to announce a new release v1.0 of the pyam package! To celebrate that pyam is coming of age, we published a manuscript in Open Research Europe, a new open-access journal (well, maybe preprint server is a better description…) highlighting how pyam relates to other tools used in the IAM, macro-energy and energy systems community, the design principles of the package, as well as several recent use cases… https://open-research-europe.ec.europa.eu/articles/1-74 See Figure 1 below of how we see pyam - a useful bridge between highly customized modelling frameworks and general-purpose data analysis and plotting packages. Deprecation warning Warning: Release v1.0 removed all functions that were marked as deprecated. If you are worried about breaking your scripts, only update to v0.13 - which was also released yesterday and has all the new features added over the past weeks, and still supports all deprecated features (with the usual warnings). I apologize for any inconvenience! Take a look at the complete release notes on GitHub for a list of all methods and features that were removed - and the new, improved ways for working with pyam! Best regards, Daniel -- Dr. Daniel Huppmann Research Scholar, Energy Program (ENE) International Institute for Applied Systems Analysis (IIASA) Schlossplatz 1, A-2361 Laxenburg, Austria huppmann@... +43(0) 2236 807-572 www.iiasa.ac.at/staff/huppmann twitter.com/daniel_huppmann _._,_._,_