@AloneSnowflake · Post #396 · 06/16/2024, 09:31 PM
𝐀dd 𝐒ticker ˓ 🔴 ˒ ༅ 𝐉oin 𝐂hannel ⋅•⋅ #Sticker#Boo#MonsterInc
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Source channel @githubtrending · Post #15513 · Feb 20
#python#agents#claude#cursor#databricks#vibecoding The Databricks AI Dev Kit enhances AI-driven development by providing your coding assistant (Claude Code, Cursor, etc.) with trusted Databricks knowledge and best practices. It includes a Python library, MCP server with 50+ tools, markdown skills teaching Databricks patterns, and a web-based builder app. You can build Spark pipelines, jobs, dashboards, knowledge assistants, and deploy ML models faster and smarter. The benefit is that your AI coding assistant gains direct access to Databricks functionality and patterns, enabling you to develop data and AI applications more efficiently with built-in governance and best practices. https://github.com/databricks-solutions/ai-dev-kit
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@AloneSnowflake · Post #396 · 06/16/2024, 09:31 PM
𝐀dd 𝐒ticker ˓ 🔴 ˒ ༅ 𝐉oin 𝐂hannel ⋅•⋅ #Sticker#Boo#MonsterInc
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@djangoproject · Post #195 · 11/08/2016, 03:18 AM
http://stackoverflow.com/questions/29269370/how-to-properly-create-and-run-concurrent-tasks-using-pythons-asyncio-module In the case of trying to concurrently run two looping Tasks, I've noticed that unless the Task has an internal await expression, it will get stuck in the while loop, effectively blocking other tasks from running (much like a normal while loop). However, as soon the Tasks have to wait--even for just a fraction of a second--they seem to run concurrently without an issue. Thus, the await statements seem to provide the event loop with a foothold for switching back and forth between the tasks, giving the effect of #concurrency. Example output with internal await: running async test ...#boo 0 ...#baa 0 ...boo 1 ...baa 1 ...boo 2 ...baa 2
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@CosineGallery · Post #3741 · 11/15/2025, 12:23 PM
無題 Source by pixiv 彰メロ 原始标签:#StellaSora#Boo#Teresa#テレサステラソラ#肚脐 自定义标签:#甜妹#兽耳#可爱 尺寸: 1680x2520 @CosineGallery | 网站 | 3717
@cosplayuploadtest2 · Post #102722 · 03/23/2025, 03:37 AM
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