#dask is strange. Sometimes using the dask counterpart to numpy functions or arrays makes computations slower. Sometimes not. Also, lots of variability in runtime. #python #dataengineering
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Thank you to #Kone & 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 #QGIS, #pandas, #geopandas, #duckdb, #dask, #statsmodels, #jupyter and many more!
Working on solutions for large-scale #ScientificComputing?
#EuroSciPy2025 wants your original research on parallel and distributed computing with #Python!
Submit your breakthrough approaches to scaling scientific workloads as tutorials, talks, or posters:
𝗚𝗲𝗼𝘀𝗽𝗮𝘁𝗶𝗮𝗹 𝗣𝘆𝘁𝗵𝗼𝗻 𝗧𝘂𝘁𝗼𝗿𝗶𝗮𝗹𝘀
SpatialThoughts provides tutorials which cover a broad range of geospatial topics and technologies, e.g., #GeoPandas, #XArray, #dask, and more. Each technology is described in a notebook with step-by-step explanation. Check it out.
https://www.geopythontutorials.com
DuckDBAn in-process SQL OLAP database management systemDuckDB is an in-process SQL OLAP database management system. Simple, feature-rich, fast & open source.
News 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… 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 EshaHaber.com.tr #deprem #sigorta #Türkiye #afet #DASK
News 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… 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 EshaHaber.com.tr #TürkiyeSigorta #Deprem #Sigorta #DASK #AfetBilinci
News 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… 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 EshaHaber.com.tr #deprem #Kahramanmaraş #DASK #sigorta #afet
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The bounty is now 100 points! Please help me #Python #Django #Dask community 
https://stackoverflow.com/questions/79198230/
Stack OverflowDjango + Dask integration: usage and progress?About performance & best practice
Note, the entire code for the question below is public on Github.
Feel free to check out the project! https://github.com/b-long/moose-dj-uv/pull/3
I'm trying...
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I've improved my StackOverflow question and added a bounty. I'm once again asking the amazing #python , #dask , and #Django community if you could offer some of your knowledge to me and the world 
I suppose this might just be a #Dask question, but I am boosting it to reach out to anyone that might lend a hand https://stackoverflow.com/q/79198230
Stack OverflowDjango + Dask integration: usage and progress?About performance & best practice
Note, the entire code for the question below is public on Github.
Feel free to check out the project! https://github.com/b-long/moose-dj-uv/pull/3
I'm trying...
Would any of the wonderful #python , #dask , or #Django 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
https://stackoverflow.com/questions/79198230/django-dask-integration-how-to-do-more-with-less
Stack OverflowDjango + Dask integration: How to do more with less?Note, the entire code for the question below is public on Github.
Feel free to check out the project! https://github.com/b-long/moose-dj-uv/pull/3
I'm trying to workout a simple Django + Dask
I am moving all my computing libraries to #xarray, no regrets. It is a natural way to manipulate datasets of rectangular arrays, with named coordinates and dimensions: https://xarray.dev/
There are several possible backends, including #dask 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!
xarray.devXarray: N-D labeled arrays and datasets in Python
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.
If, 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! #STAC, #COG, #Zarr, #Dask, #AWS, #EarthEngine
https://www.youtube.com/watch?v=YPno-89l54Q
After a day and a half of #ImageAnalysis in the cloud with #dask by the IDR team, Damian Dalle Nogare takes over a practical session to apply several #AI models for cell segmentation using #Cellpose
Client libraries are better when they have no API: https://csvbase.com/blog/7
csvbase · Client libraries are better when they have no API
Pangeo · Webinar - Building a Planetary-Scale Earth-Observation Data Cube in ZarrNext Tuesday Earthmover is hosting a webinar on Building a Planetary-Scale Earth-Observation Data Cube in Zarr Date: Tuesday, April 16, 2024 @ 12pm EST registration link As regulars on this forum will note, I’ve recently gone on a deep dive into how to efficiently build massive-scale harmonized earth-observation data cubes in Zarr using open data. These workflows are common at big satellite data providers and processors (think NASA, Planet, etc.) But thanks to open data and serverless cloud...
ICYMI: #KültürSanat #DASK Nilüfer Belediyesi, Doğal Afet Sigortaları Kurumu ile iş birliği protokolü imzaladı https://www.haberidiyarbakir.com/nilufer-belediyesi-dogal-afet-sigortalari-kurumu-ile-is-birligi-protokolu-imzaladi/?utm_source=dlvr.it&utm_medium=mastodon
#KültürSanat #DASK Nilüfer Belediyesi, Doğal Afet Sigortaları Kurumu ile iş birliği protokolü imzaladı https://www.haberidiyarbakir.com/nilufer-belediyesi-dogal-afet-sigortalari-kurumu-ile-is-birligi-protokolu-imzaladi/?utm_source=dlvr.it&utm_medium=mastodon
