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4 rows where author_association = "CONTRIBUTOR" and issue = 1447050738 sorted by updated_at descending

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  • eyeseast 1
  • fgregg 1
  • adipasquale 1
  • hydrosquall 1

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  • Call for birthday presents: if you're using Datasette, let us know how you're using it here · 4 ✖

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  • CONTRIBUTOR · 4 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions issue performed_via_github_app
1321241426 https://github.com/simonw/datasette/issues/1886#issuecomment-1321241426 https://api.github.com/repos/simonw/datasette/issues/1886 IC_kwDOBm6k_c5OwItS fgregg 536941 2022-11-20T20:58:54Z 2022-11-20T20:58:54Z CONTRIBUTOR

i wrote up a blog post of how i'm using it! https://bunkum.us/2022/11/20/mgdo-stack.html

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Call for birthday presents: if you're using Datasette, let us know how you're using it here 1447050738  
1321003094 https://github.com/simonw/datasette/issues/1886#issuecomment-1321003094 https://api.github.com/repos/simonw/datasette/issues/1886 IC_kwDOBm6k_c5OvOhW hydrosquall 9020979 2022-11-20T00:52:05Z 2022-11-20T00:52:05Z CONTRIBUTOR

Happy birthday to datasette and thank you Simon for your continued effort on this project!

I use datasette (python) as a fast layer on top of search for github projects using https://github.com/dogsheep/github-to-sqlite , and use the JSON API it provides to serve sample data to make Vega-Lite graphing workshop examples that don't require authentication/API keys. It's awesome to have a full SQL API support working without needing to develop any custom API middleware for both filtering and grouping.

I've also enjoyed using it as a teaching tool for working with public dataset in civic data workshops and as a platform for making visualization plugins . I

I'm especially excited about datasette-lite, as it will let people participate in future editions of this workshop without having to install anything to make use of their own tables :)

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Call for birthday presents: if you're using Datasette, let us know how you're using it here 1447050738  
1314241058 https://github.com/simonw/datasette/issues/1886#issuecomment-1314241058 https://api.github.com/repos/simonw/datasette/issues/1886 IC_kwDOBm6k_c5OVboi eyeseast 25778 2022-11-14T19:06:35Z 2022-11-14T19:06:35Z CONTRIBUTOR

This probably counts as a case study: https://github.com/eyeseast/spatial-data-cooking-show. Even has video.

Seriously, though, this workflow has become integral to my work with reporters and editors across USA TODAY Network. Very often, I get sent a folder of data in mixed formats, with a vague ask of how we should communicate some part of it to users. Datasette and its constellation of tools makes it easy to get a quick look at that data, run exploratory queries, map it and ask questions to figure out what's important to show. And then I export a version of the data that's exactly what I need for display.

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Call for birthday presents: if you're using Datasette, let us know how you're using it here 1447050738  
1313252879 https://github.com/simonw/datasette/issues/1886#issuecomment-1313252879 https://api.github.com/repos/simonw/datasette/issues/1886 IC_kwDOBm6k_c5ORqYP adipasquale 883348 2022-11-14T08:10:23Z 2022-11-14T08:10:23Z CONTRIBUTOR

Hi @simonw and thanks for the great tools you're publishing, your dedication is inspiring!

I work for the French Ministry of Culture on a surveying tool for objects protected for their historical value. It is part of a program building modern public services called beta.gouv.fr.

In that context I'm using data published by the Ministry that I have ingested into datasette and published on a free Fly instance : https://collectif-objets-datasette.fly.dev . I have also ingested another data set with infos about french cities on this instance so that I can perform joined queries.

The surveying tool synchronizes its data regularly from this datasette instance, and I also use it to perform queries when asked generic questions about the distribution of objects. (The data is not very accessible as it's undocumented and for internal usage mostly)

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Call for birthday presents: if you're using Datasette, let us know how you're using it here 1447050738  

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