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Daniel Huppmann<p>Just in time before the end of the year…</p><p>🎉 Release 3.0 of our <a href="https://mastodon.social/tags/opensource" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>opensource</span></a> Python package <a href="https://mastodon.social/tags/pyam_iamc" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>pyam_iamc</span></a> for scenario analysis &amp; <a href="https://mastodon.social/tags/dataviz" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>dataviz</span></a> of emissions, <a href="https://mastodon.social/tags/energysystems" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>energysystems</span></a> and <a href="https://mastodon.social/tags/IntegratedAssessment" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>IntegratedAssessment</span></a> models…</p><p>Highlights:</p><p>- Implement reading and writing of netcdf files<br>- Remove automated sorting of timeseries data for performance improvement<br>- Add support for Python 3.13</p><p><a href="https://github.com/iamconsortium/pyam/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="">github.com/iamconsortium/pyam/</span><span class="invisible"></span></a></p>
Daniel Huppmann<p>🎉 Release 2.3 of our opensource python package pyam for dataviz and scenario analysis of Integrated Assessment, Energy Systems &amp; Macro-Energy models..</p><p>Highlight: new options for data filtering!<br><a href="https://mastodon.social/tags/pyam_iamc" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>pyam_iamc</span></a><br><a href="https://github.com/IAMconsortium/pyam" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="">github.com/IAMconsortium/pyam</span><span class="invisible"></span></a></p>
Daniel Huppmann<p>Finally got around to do some <a href="https://mastodon.social/tags/python" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>python</span></a> programming again...</p><p>🎉 Happy to announce release 2.2.4 of the pyam package for scenario analysis and dataviz</p><p>Added a new option for filtering of IAMC-format timeseries data and improved documentation</p><p><a href="https://mastodon.social/tags/pyam_iamc" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>pyam_iamc</span></a> <br><a href="https://github.com/IAMconsortium/pyam" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="">github.com/IAMconsortium/pyam</span><span class="invisible"></span></a></p>
Daniel Huppmann<p>Happy to announce...</p><p>🎉 Release 2.2 of our <a href="https://mastodon.social/tags/opensource" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>opensource</span></a> <a href="https://mastodon.social/tags/python" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>python</span></a> package <a href="https://mastodon.social/tags/pyam_iamc" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>pyam_iamc</span></a> for <a href="https://mastodon.social/tags/dataviz" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>dataviz</span></a> and <a href="https://mastodon.social/tags/scenario" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>scenario</span></a> analysis of <a href="https://mastodon.social/tags/IntegratedAssessment" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>IntegratedAssessment</span></a>, <a href="https://mastodon.social/tags/EnergySystems" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>EnergySystems</span></a> &amp; <a href="https://mastodon.social/tags/MacroEnergy" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MacroEnergy</span></a> models. </p><p>Highlights:<br>- Direct integration with the new <a href="https://mastodon.social/tags/ixmp4" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ixmp4</span></a> database package<br>- More flexible and intuitive signature for data validation and categorization<br>- Support for Python 3.12 and migration to poetry &amp; ruff</p><p><a href="https://github.com/iamconsortium/pyam/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="">github.com/iamconsortium/pyam/</span><span class="invisible"></span></a></p>
Daniel Huppmann<p>Just in time for the end of the year...</p><p>🎉 Release 2.1 of our <a href="https://mastodon.social/tags/opensource" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>opensource</span></a> <a href="https://mastodon.social/tags/python" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>python</span></a> package <a href="https://mastodon.social/tags/pyam_iamc" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>pyam_iamc</span></a> for <a href="https://mastodon.social/tags/dataviz" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>dataviz</span></a> and <a href="https://mastodon.social/tags/scenario" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>scenario</span></a> analysis of <a href="https://mastodon.social/tags/IntegratedAssessment" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>IntegratedAssessment</span></a>, <a href="https://mastodon.social/tags/EnergySystems" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>EnergySystems</span></a> &amp; <a href="https://mastodon.social/tags/MacroEnergy" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MacroEnergy</span></a> models.</p><p>👉 <a href="https://github.com/iamconsortium/pyam/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="">github.com/iamconsortium/pyam/</span><span class="invisible"></span></a></p>
Daniel Huppmann<p>🎉 Release 2.0 of the <a href="https://mastodon.social/tags/python" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>python</span></a> package <a href="https://mastodon.social/tags/pyam_iamc" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>pyam_iamc</span></a> for <a href="https://mastodon.social/tags/dataviz" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>dataviz</span></a> and <a href="https://mastodon.social/tags/scenario" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>scenario</span></a> analysis of <a href="https://mastodon.social/tags/IntegratedAssessment" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>IntegratedAssessment</span></a>, <a href="https://mastodon.social/tags/EnergySystems" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>EnergySystems</span></a> &amp; <a href="https://mastodon.social/tags/MacroEnergy" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MacroEnergy</span></a> models.</p><p>Code <a href="https://mastodon.social/tags/OpenSource" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>OpenSource</span></a> on <a href="https://mastodon.social/tags/GitHub" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>GitHub</span></a>, docs &amp; tutorials hosted on <a href="https://mastodon.social/tags/ReadTheDocs" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ReadTheDocs</span></a>, discussion fora via groups.io and <a href="https://mastodon.social/tags/Slack" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Slack</span></a>.</p><p>⚠️The new release removes support for <a href="https://mastodon.social/tags/python" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>python</span></a> earlier than 3.10 for easier maintenance and streamlined development going forward...</p><p>Check out the release details at <a href="https://github.com/IAMconsortium/pyam/releases/tag/v2.0.0" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">github.com/IAMconsortium/pyam/</span><span class="invisible">releases/tag/v2.0.0</span></a></p>
Daniel Huppmann<p>To review the (draft) update of national <a href="https://mastodon.social/tags/SSP" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>SSP</span></a> projections for <a href="https://mastodon.social/tags/GDP" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>GDP</span></a> and <a href="https://mastodon.social/tags/population" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>population</span></a>, you can...</p><p>1. View the data via our interactive <a href="https://mastodon.social/tags/ScenarioExplorer" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ScenarioExplorer</span></a> hosted by the <a href="https://mastodon.social/tags/IIASA" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>IIASA</span></a> <a href="https://mastodon.social/tags/ScenarioServices" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ScenarioServices</span></a> team<br>2. Download the full dataset as xlsx<br>3. Access the data via our <a href="https://mastodon.social/tags/Python" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Python</span></a> or <a href="https://mastodon.social/tags/Rstats" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Rstats</span></a> API</p><p>And with our <a href="https://mastodon.social/tags/opensource" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>opensource</span></a> package <a href="https://mastodon.social/tags/pyam_iamc" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>pyam_iamc</span></a>, it's as easy as the snippet below...<br>... to get something that's just like a <a href="https://mastodon.social/tags/pandas" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>pandas</span></a> <a href="https://mastodon.social/tags/DataFrame" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DataFrame</span></a> - but better!</p><p><a href="https://mastodon.social/tags/ReadTheDocs" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ReadTheDocs</span></a> at <a href="https://pyam-iamc.readthedocs.io" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="">pyam-iamc.readthedocs.io</span><span class="invisible"></span></a></p>
Daniel Huppmann<p>Wrapping up a day of lectures &amp; tutorials at the <a href="https://mastodon.social/tags/NAVIGATE" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>NAVIGATE</span></a>-<a href="https://mastodon.social/tags/ENGAGE" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ENGAGE</span></a> Summer School on <a href="https://mastodon.social/tags/IntegratedAssessment" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>IntegratedAssessment</span></a> modeling &amp; <a href="https://mastodon.social/tags/Climate" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Climate</span></a> policy research…</p><p>My slides on <a href="https://mastodon.social/tags/betterpractices" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>betterpractices</span></a> of reproducible, transparent <a href="https://mastodon.social/tags/scenario" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>scenario</span></a> analysis and the <a href="https://mastodon.social/tags/python" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>python</span></a> package <a href="https://mastodon.social/tags/pyam_iamc" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>pyam_iamc</span></a> tutorial notebook are <a href="https://mastodon.social/tags/opensource" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>opensource</span></a> at <a href="https://github.com/danielhuppmann/ENGAGE-pyam-tutorial" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">github.com/danielhuppmann/ENGA</span><span class="invisible">GE-pyam-tutorial</span></a> &amp; <a href="https://doi.org/10.5281/zenodo.8112529" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="">doi.org/10.5281/zenodo.8112529</span><span class="invisible"></span></a> (<a href="https://mastodon.social/tags/ZENODO" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ZENODO</span></a>).</p>
Daniel Huppmann<p>Boarding <a href="https://mastodon.social/tags/%C3%96BB" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ÖBB</span></a> <a href="https://mastodon.social/tags/RailJet" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>RailJet</span></a> <a href="https://mastodon.social/tags/RJX600" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>RJX600</span></a> heading to the <a href="https://mastodon.social/tags/ENGAGE" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ENGAGE</span></a>-<a href="https://mastodon.social/tags/NAVIGATE" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>NAVIGATE</span></a> Summer School on <a href="https://mastodon.social/tags/IntegratedAssessment" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>IntegratedAssessment</span></a> modeling at <a href="https://mastodon.social/tags/lagodicomo" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>lagodicomo</span></a> </p><p>Looking forward to giving a tutorial on <a href="https://mastodon.social/tags/scenario" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>scenario</span></a> <a href="https://mastodon.social/tags/analysis" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>analysis</span></a> &amp; <a href="https://mastodon.social/tags/dataviz" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>dataviz</span></a> using the <a href="https://mastodon.social/tags/opensource" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>opensource</span></a> <a href="https://mastodon.social/tags/python" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>python</span></a> package <a href="https://mastodon.social/tags/pyam_iamc" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>pyam_iamc</span></a>!</p><p><a href="https://mastodon.social/tags/TrainNotPlane" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>TrainNotPlane</span></a></p>
Daniel Huppmann<p>Just in time for the <a href="https://mastodon.social/tags/Horizon2020" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Horizon2020</span></a> <a href="https://mastodon.social/tags/ECEMF" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ECEMF</span></a> consortium meeting...</p><p>🎉 Release v1.9 of the <a href="https://mastodon.social/tags/pyam_iamc" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>pyam_iamc</span></a> package for <a href="https://mastodon.social/tags/scenario" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>scenario</span></a> analysis &amp; <a href="https://mastodon.social/tags/dataviz" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>dataviz</span></a></p><p>Now supporting <a href="https://mastodon.social/tags/pandas" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>pandas</span></a> v2.0 and fully tested on <a href="https://mastodon.social/tags/Python" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Python</span></a> v3.11...<br><a href="https://github.com/iamconsortium/pyam" rel="nofollow noopener" target="_blank"><span class="invisible">https://</span><span class="">github.com/iamconsortium/pyam</span><span class="invisible"></span></a></p>