『怀旧小屋』
@PainlessDestiny · Post #2587 · 02/10/2025, 04:07 AM
#相册3.8.2.11 #Bokeh 2.0.19.0.0 解锁文档编辑（包含去屏纹、曲面矫正和笔迹消除） 解锁提取表格（需要小爱视觉/AI扫描）
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Source channel @githubtrending · Post #15038 · Aug 8
#python#agent#agentic#agentic_ai#agents#agents_sdk#ai#ai_agents#aiagentframework#genai#genai_chatbot#llm#llms#multi_agent#multi_agent_systems#multi_agents#multi_agents_collaboration The Agent Development Kit (ADK) is an open-source Python toolkit that helps you easily build, test, and deploy smart AI agents, from simple helpers to complex multi-agent systems. It lets you write agent logic in Python, use many built-in or custom tools, and organize multiple agents to work together. You can deploy agents anywhere, including Google Cloud, and evaluate their performance with built-in tools. ADK supports flexible workflows and works with various AI models, not just Google’s. This means you get full control and flexibility to create powerful AI applications that fit your needs, speeding up development and making it easier to manage AI projects. https://github.com/google/adk-python
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djangoproject
@djangoproject · Post #468 · 10/16/2017, 08:30 AM
https://s3.amazonaws.com/assets.datacamp.com/blog_assets/Python_Bokeh_Cheat_Sheet.pdf Python For #Data_Science Cheat Sheet The Python interactive visualization library #Bokeh enables high-performance visual presentation of large datasets in modern #web browsers.
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@ThemesM8 · Post #85 · 07/20/2021, 04:48 PM
https://t.me/addtheme/pfsIJiYasr0juhEB 🌈@ThemesM8✨ #dark#purple#blue#android#desktop#oled#amoled#night#bokeh
『怀旧小屋』
@PainlessDestiny · Post #2611 · 02/28/2025, 01:30 PM
#小米相册#相册#小米相册编辑 #小米澎湃AI引擎#文件管理#Bokeh 来自小米15Ultra的App们 不建议在MIUI或者HyperOS上用 不接收来自MIUI/HyperOS/低于安卓14的反馈 相册和文件管理在高分辨率的屏幕上显示异常，暂时不知道怎么修 对于小米相册： 功能应该是解锁全了 对于小米相册编辑： 水印还是和之前一样，你想要正常的显示，可以手动改照片的EXIF 如果你发现你拍的照片点不进画框，但是截图可以，建议你打开EXIF随便改一个数字他就可以点进画框了，暂时还不知道是咋回事 部分AI功能可能失效（因为小米服务器Boom了） 其他的功能也基本解锁全了 对于文件管理： 没啥说的，就是移植包 小米澎湃引擎和Bokeh是相关组件，建议安装
djangoproject
@djangoproject · Post #352 · 06/25/2017, 08:57 AM
https://stxnext.com/blog/2017/04/12/most-popular-python-scientific-libraries/ The most popular Python scientific libraries: #Astropy #Biopython #Cubes #DEAP #SCOOP #PsychoPy #Pandas #Mlpy #matplotlib #NumPy #NetworkX #TomoPy #Theano #SymPy #SciPy #scikit_learn #scikit_image #ScientificPython #SageMath #Veusz #graph_tool #SunPy #Bokeh