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Code4ThoughtMy guest Duncan McGregor and I touch on 2 main things in this [EN] episode of <a href="https://fosstodon.org/tags/code4thought" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#code4thought</a>: using <a href="https://fosstodon.org/tags/dask" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#dask</a> to handle huge data spread over different locations. And how to transition from prototype/research software to a product. Now out on your podcast app, YouTube podcast or <a href="https://codeforthought.buzzsprout.com" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://codeforthought.buzzsprout.com</a>

Olivier D'Hondt 🛰️🌍🌱<a href="https://framapiaf.org/tags/dask" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#dask</a> is strange. Sometimes using the dask counterpart to numpy functions or arrays makes computations slower. Sometimes not. Also, lots of variability in runtime. <a href="https://framapiaf.org/tags/python" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#python</a> <a href="https://framapiaf.org/tags/dataengineering" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#dataengineering</a>

Tatu LeppämäkiThank you to <a href="https://mstdn.social/tags/Kone" class="mention hashtag" rel="tag">#Kone</a> & Mai and Tor Nessling Foundations for supporting this work. A quantitative work like this would not be possible without a robust suite of FOSS tools. My thanks to the maintainers of <a href="https://mstdn.social/tags/QGIS" class="mention hashtag" rel="tag">#QGIS</a>, <a href="https://mstdn.social/tags/pandas" class="mention hashtag" rel="tag">#pandas</a>, <a href="https://mstdn.social/tags/geopandas" class="mention hashtag" rel="tag">#geopandas</a>, <a href="https://mstdn.social/tags/duckdb" class="mention hashtag" rel="tag">#duckdb</a>, <a href="https://mstdn.social/tags/dask" class="mention hashtag" rel="tag">#dask</a>, <a href="https://mstdn.social/tags/statsmodels" class="mention hashtag" rel="tag">#statsmodels</a>, <a href="https://mstdn.social/tags/jupyter" class="mention hashtag" rel="tag">#jupyter</a> and many more!

EuroSciPyWorking on solutions for large-scale <a href="https://fosstodon.org/tags/ScientificComputing" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#ScientificComputing</a>?<a href="https://fosstodon.org/tags/EuroSciPy2025" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#EuroSciPy2025</a> wants your original research on parallel and distributed computing with <a href="https://fosstodon.org/tags/Python" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Python</a>!Submit your breakthrough approaches to scaling scientific workloads as tutorials, talks, or posters:<a href="https://pretalx.com/euroscipy-2025/cfp" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://pretalx.com/euroscipy-2025/cfp</a> <a href="https://fosstodon.org/tags/DistributedComputing" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#DistributedComputing</a> <a href="https://fosstodon.org/tags/PythonScience" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#PythonScience</a> <a href="https://fosstodon.org/tags/ScientificPython" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#ScientificPython</a> <a href="https://fosstodon.org/tags/Dask" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Dask</a> <a href="https://fosstodon.org/tags/BigData" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#BigData</a> <a href="https://fosstodon.org/tags/DataScience" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#DataScience</a> <a href="https://fosstodon.org/tags/EuroSciPy" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#EuroSciPy</a>

Joseph Szymborski :qcca:<a href="https://cosocial.ca/tags/DuckDB" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#DuckDB</a> (and a tonne of RAM) have absolutely saved my behind these last few months while dealing with huge biological datasets.If you do any <a href="https://cosocial.ca/tags/data" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#data</a> munging at all on a daily basis, well worth picking up DuckDB. Don't let the DB part fool you, it's more like <a href="https://cosocial.ca/tags/Dask" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Dask</a> or <a href="https://cosocial.ca/tags/Spark" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Spark</a> but <a href="https://cosocial.ca/tags/SQL" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#SQL</a> .<a href="https://duckdb.org/" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://duckdb.org/</a>

EshaHaberNews Haber EshaHaber Türkiye Sigorta, deprem bölgesinde 6,5 milyar lira hasar ödemesi yaptı: AA muhabirine açıklamalarda bulunan Çakmak, doğal afetlerle mücadelede en etkili yolun toplumsal bilincin güçlendirilmesi olduğunu söyledi.Çakmak, Türkiye'nin büyük bir bölümünün aktif fay hatları üzerinde olduğunu anımsatarak, "Bu durum bizlere her zaman doğal afetlere karşı hazırlıklı ve tedbirli olmamız… <a href="https://www.eshahaber.com.tr/haber/turkiye-sigorta-deprem-bolgesinde-6-5-milyar-lira-hasar-odemesi-yapti-203294.html?utm_source=dlvr.it&utm_medium=mastodon" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://www.eshahaber.com.tr/haber/turkiye-sigorta-deprem-bolgesinde-6-5-milyar-lira-hasar-odemesi-yapti-203294.html?utm_source=dlvr.it&utm_medium=mastodon</a> EshaHaber.com.tr <a href="https://mastodon.social/tags/deprem" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#deprem</a> <a href="https://mastodon.social/tags/sigorta" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#sigorta</a> <a href="https://mastodon.social/tags/T%C3%BCrkiye" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Türkiye</a> <a href="https://mastodon.social/tags/afet" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#afet</a> <a href="https://mastodon.social/tags/DASK" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#DASK</a>

EshaHaberNews Haber EshaHaber Türkiye Sigorta, deprem bölgesinde 6,5 milyar lira ödeme yaptı: Türkiye Sigorta Genel Müdürü Çakmak, doğal afetlerle mücadelede en etkili yolun toplumsal bilincin güçlendirilmesi olduğunu söyledi.Çakmak, Türkiye'nin büyük bir bölümünün aktif fay hatları üzerinde olduğunu anımsatarak, "Bu durum bizlere her zaman doğal afetlere karşı hazırlıklı ve tedbirli olmamız gerektiğini… <a href="https://www.eshahaber.com.tr/haber/turkiye-sigorta-deprem-bolgesinde-6-5-milyar-lira-odeme-yapti-203257.html?utm_source=dlvr.it&utm_medium=mastodon" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://www.eshahaber.com.tr/haber/turkiye-sigorta-deprem-bolgesinde-6-5-milyar-lira-odeme-yapti-203257.html?utm_source=dlvr.it&utm_medium=mastodon</a> EshaHaber.com.tr <a href="https://mastodon.social/tags/T%C3%BCrkiyeSigorta" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#TürkiyeSigorta</a> <a href="https://mastodon.social/tags/Deprem" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Deprem</a> <a href="https://mastodon.social/tags/Sigorta" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Sigorta</a> <a href="https://mastodon.social/tags/DASK" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#DASK</a> <a href="https://mastodon.social/tags/AfetBilinci" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#AfetBilinci</a>

EshaHaberNews Haber EshaHaber DASK, "asrın felaketi" sonrası yaklaşık 40 milyar lira hasar ödemesi yaptı: Türkiye’nin kalbinde derin izler bırakan ve yüzyılın felaketi olarak kayıtlara geçen 6 Şubat Kahramanmaraş merkezli depremlerin üzerinden 2 yıl geçti.Bu sürede Türkiye genelinde sağlanan birlik ve beraberlik hareketi ile sarsıntının etkilediği 11 ilin yeniden ayağa kaldırılması için çalışmalar devam… <a href="https://www.eshahaber.com.tr/haber/dask-asrin-felaketi-sonrasi-yaklasik-40-milyar-lira-hasar-odemesi-yapti-202541.html?utm_source=dlvr.it&utm_medium=mastodon" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://www.eshahaber.com.tr/haber/dask-asrin-felaketi-sonrasi-yaklasik-40-milyar-lira-hasar-odemesi-yapti-202541.html?utm_source=dlvr.it&utm_medium=mastodon</a> EshaHaber.com.tr <a href="https://mastodon.social/tags/deprem" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#deprem</a> <a href="https://mastodon.social/tags/Kahramanmara%C5%9F" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Kahramanmaraş</a> <a href="https://mastodon.social/tags/DASK" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#DASK</a> <a href="https://mastodon.social/tags/sigorta" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#sigorta</a> <a href="https://mastodon.social/tags/afet" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#afet</a>

b-longThe bounty is now 100 points! Please help me <a href="https://fosstodon.org/tags/Python" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Python</a> <a href="https://fosstodon.org/tags/Django" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Django</a> <a href="https://fosstodon.org/tags/Dask" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Dask</a> community 🙏🐍💚 <a href="https://stackoverflow.com/questions/79198230/" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://stackoverflow.com/questions/79198230/</a>

b-longI've improved my StackOverflow question and added a bounty. I'm once again asking the amazing <a href="https://fosstodon.org/tags/python" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#python</a> , <a href="https://fosstodon.org/tags/dask" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#dask</a> , and <a href="https://fosstodon.org/tags/Django" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Django</a> community if you could offer some of your knowledge to me and the world 🤟🐍 I suppose this might just be a <a href="https://fosstodon.org/tags/Dask" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Dask</a> question, but I am boosting it to reach out to anyone that might lend a hand 💚 <a href="https://stackoverflow.com/q/79198230" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://stackoverflow.com/q/79198230</a>

Yuan Tang<a href="https://bsky.brid.gy/hashtag/HDF5" rel="nofollow noopener noreferrer" target="_blank">#HDF5</a> and <a href="https://bsky.brid.gy/hashtag/DASK" rel="nofollow noopener noreferrer" target="_blank">#DASK</a> are both supported in <a href="https://bsky.brid.gy/hashtag/skflow" rel="nofollow noopener noreferrer" target="_blank">#skflow</a> <a href="https://bsky.brid.gy/hashtag/TensorFlow" rel="nofollow noopener noreferrer" target="_blank">#TensorFlow</a>! See examples in <a href="https://goo.gl/MSH3dr" rel="nofollow noopener noreferrer" target="_blank">https://goo.gl/MSH3dr</a>

b-longWould any of the wonderful <a href="https://fosstodon.org/tags/python" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#python</a> , <a href="https://fosstodon.org/tags/dask" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#dask</a> , or <a href="https://fosstodon.org/tags/Django" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Django</a> people have a few minutes to spare helping me with a performance question? Our community is so wonderful and I'm so grateful for you all 🤟🐍<a href="https://stackoverflow.com/questions/79198230/django-dask-integration-how-to-do-more-with-less" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://stackoverflow.com/questions/79198230/django-dask-integration-how-to-do-more-with-less</a>

HabrDask для анализа временных рядовПривет, Хабр! Сегодня расскажем, как с помощью Dask можно анализировать временные ряды. С временными рядами всегда заморочек много: большие данные, сложные расчеты. Но Dask отлично с этим справляется.<a href="https://habr.com/ru/companies/otus/articles/855408/" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://habr.com/ru/companies/otus/articles/855408/</a><a href="https://zhub.link/tags/dask" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#dask</a> <a href="https://zhub.link/tags/%D0%B2%D1%80%D0%B5%D0%BC%D0%B5%D0%BD%D0%BD%D1%8B%D0%B5_%D1%80%D1%8F%D0%B4%D1%8B" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#временные_ряды</a>

MuemmelDear <a href="https://chaos.social/tags/gis" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#gis</a> users and <a href="https://chaos.social/tags/gischat" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#gischat</a> . I just wrote my first (real) post on my block. I tried to learn some modern frameworks. Therefore, I compared the execution speed for the Intersection for the buildings of a whole German state with their parcels and land usage. I compared <a href="https://chaos.social/tags/Geopandas" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Geopandas</a> <a href="https://chaos.social/tags/duckdb" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#duckdb</a> <a href="https://chaos.social/tags/apachesedona" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#apachesedona</a> and <a href="https://chaos.social/tags/dask" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#dask</a> GeoPandas.Sedona and Dask-GeoPandas were the fastest. DuckDB's had some problems. Btw.: DuckDB did have the smallest memory footprint. Here is the entry: <a href="https://sehheiden.github.io/posts/speed_comparision_gis_intersection/" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://sehheiden.github.io/posts/speed_comparision_gis_intersection/</a>

Olivier D'Hondt 🛰️🌍🌱I am working on a <a href="https://framapiaf.org/tags/dask" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#dask</a> powered version of the Goldstein filter to denoise interferometric phase. It will be in the the next release of <a href="https://framapiaf.org/tags/eo_tools" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#eo_tools</a>. <a href="https://framapiaf.org/tags/python" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#python</a> <a href="https://framapiaf.org/tags/foss" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#foss</a> <a href="https://framapiaf.org/tags/EarthObservation" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#EarthObservation</a>

Virgile AndreaniI am moving all my computing libraries to <a href="https://fosstodon.org/tags/xarray" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#xarray</a>, no regrets. It is a natural way to manipulate datasets of rectangular arrays, with named coordinates and dimensions: <a href="https://xarray.dev/" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://xarray.dev/</a> There are several possible backends, including <a href="https://fosstodon.org/tags/dask" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#dask</a> which allows lazy data loading. I had the pleasure of meeting some of the devs last week, who showed me a preview of the upcoming `DataTree` structure which is going to make this library even more versatile!<a href="https://fosstodon.org/tags/Python" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Python</a> <a href="https://fosstodon.org/tags/numpy" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#numpy</a> <a href="https://fosstodon.org/tags/ScientificComputing" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#ScientificComputing</a>

Habr[Перевод] Уроки, извлеченные из масштабирования до многотерабайтных датасетовВ этой статье я расскажу об уроках, которые вынес при работе с многотерабайтными датасетами. Объясню, с какими сложностями столкнулся при увеличении масштабов датасета и как их удалось решить. Я разделил статью на две части: первая посвящена масштабированию на отдельной машине, вторая — масштабированию на множестве машин. Наша цель — максимизировать доступные ресурсы и как можно быстрее выполнить поставленные задачи.<a href="https://habr.com/ru/companies/magnus-tech/articles/834506/" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://habr.com/ru/companies/magnus-tech/articles/834506/</a><a href="https://zhub.link/tags/%D0%B4%D0%B0%D1%82%D0%B0%D1%81%D0%B5%D1%82%D1%8B" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#датасеты</a> <a href="https://zhub.link/tags/big_data" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#big_data</a> <a href="https://zhub.link/tags/joblib" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#joblib</a> <a href="https://zhub.link/tags/%D0%BC%D0%B0%D1%88%D0%B8%D0%BD%D0%BD%D0%BE%D0%B5" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#машинное</a>+обучение <a href="https://zhub.link/tags/%D0%BF%D0%B0%D1%80%D0%B0%D0%BB%D0%BB%D0%B5%D0%BB%D0%B8%D0%B7%D0%B0%D1%86%D0%B8%D1%8F" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#параллелизация</a> <a href="https://zhub.link/tags/spark" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#spark</a> <a href="https://zhub.link/tags/dask" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#dask</a> <a href="https://zhub.link/tags/%D0%B2%D0%B8%D1%80%D1%82%D1%83%D0%B0%D0%BB%D0%B8%D0%B7%D0%B0%D1%86%D0%B8%D1%8F" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#виртуализация</a> <a href="https://zhub.link/tags/%D0%B8%D0%BD%D1%81%D1%82%D0%B0%D0%BD%D1%81%D1%8B" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#инстансы</a> <a href="https://zhub.link/tags/%D0%B2%D0%B8%D1%80%D1%82%D1%83%D0%B0%D0%BB%D1%8C%D0%BD%D0%B0%D1%8F_%D0%BC%D0%B0%D1%88%D0%B8%D0%BD%D0%B0" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#виртуальная_машина</a>

Raúl Nanclares 🍜Spent the morning playing with pystac-client and Dask. It's interesting for small areas but I still need to figure out how to scale it when working with huge extents. <a href="https://fosstodon.org/tags/python" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#python</a> <a href="https://fosstodon.org/tags/stac" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#stac</a> <a href="https://fosstodon.org/tags/remotesensing" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#remotesensing</a> <a href="https://fosstodon.org/tags/dask" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#dask</a> <a href="https://fosstodon.org/tags/jalisco" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#jalisco</a> <a href="https://fosstodon.org/tags/mexico" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#mexico</a> <a href="https://fosstodon.org/tags/laprimavera" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#laprimavera</a> <a href="https://fosstodon.org/tags/incendios" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#incendios</a> <a href="https://fosstodon.org/tags/wildfires" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#wildfires</a>

Fiona GregoryIf, like me, you are confused about all the terminology around geospatial cloud computing and how it all fits together, I recommend this video. Great explanation! <a href="https://mapstodon.space/tags/STAC" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#STAC</a>, <a href="https://mapstodon.space/tags/COG" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#COG</a>, <a href="https://mapstodon.space/tags/Zarr" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Zarr</a>, <a href="https://mapstodon.space/tags/Dask" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Dask</a>, <a href="https://mapstodon.space/tags/AWS" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#AWS</a>, <a href="https://mapstodon.space/tags/EarthEngine" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#EarthEngine</a> <a href="https://www.youtube.com/watch?v=YPno-89l54Q" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://www.youtube.com/watch?v=YPno-89l54Q</a>

AI4LifeAfter a day and a half of <a href="https://qoto.org/tags/ImageAnalysis" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#ImageAnalysis</a> in the cloud with <a href="https://qoto.org/tags/dask" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#dask</a> by the IDR team, Damian Dalle Nogare takes over a practical session to apply several <a href="https://qoto.org/tags/AI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#AI</a> models for cell segmentation using <a href="https://qoto.org/tags/Cellpose" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Cellpose</a>

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