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Source channel @githubtrending · Post #15534 · Mar 1

#python#agent_skills#ai_scientist#bioinformatics#chemoinformatics#claude#claude_skills#claudecode#clinical_research#computational_biology#data_analysis#drug_discovery#genomics#materials_science#metabolomics#proteomics#scientific_computing#scientific_visualization Claude Scientific Skills offers 148+ ready-to-use tools for AI agents like Cursor or Claude Code, covering biology, chemistry, drug discovery, clinical research, ML, and 250+ databases (PubMed, ChEMBL, etc.). Easy setup: clone the GitHub repo and copy folders to your skills directory for automatic use in complex workflows like single-cell analysis or virtual screening. You save days on setup, get reliable code, and run multi-step science faster on your desktop. https://github.com/K-Dense-AI/claude-scientific-skills

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djangoproject

@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

cosplayupload

@cosplayuploadtest2 · Post #102722 · 03/23/2025, 03:37 AM

Title: Natsumi_Ikema_池間夏海,_デジタル限定_YJ_PHOTO_BOO_「なつみ」 Authors: #None Tags: #None#Natsumi_Ikema_池間夏海#デジタル限定_YJ_PHOTO_BOOK#Natsumi#Ikema#池間夏海#デジタル限定 #YJ#PHOTO#BOO #「なつみ」 recommendation: None TelegraphLinks:page-0-33