#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）
TGTGInsighttelegram intelligenceLIVE / telegram public index
Bot API was updated to version 6.4 Forums • Bots can now open, close, edit and toggle the visibility of the General Topic. • Added support for new service messages, like ForumTopicEdited, GeneralForumTopicHidden and more. • The method sendChatAction can now send actions to any thread or topic via the message_thread_id parameter. Spoilers • Added spoiler detection via the new has_media_spoiler field in the Message class. • Bots can send media covered by a spoiler animation via the has_spoiler field in sendPhoto, sendVideo and sendAnimation. Web Apps • Added a native QR scanner popup, controllable via showScanQrPopup and closeScanQrPopup. • Web Apps launched from the attachment menu can request clipboard text via readTextFromClipboard. • Added a platform field, showing which platform the web app is being used on. General • Added the is_persistent field, to keep ReplyKeyboards open by default. See the full changelog for details on the official website. #update#BotAPI https://t.me/+VMLgtEPNL49jZmNh
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djangoproject
@djangoproject · Post #468 · 2017. 10. 16. AM 08:30
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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https://t.me/addtheme/pfsIJiYasr0juhEB 🌈@ThemesM8✨ #dark#purple#blue#android#desktop#oled#amoled#night#bokeh
#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 · 2017. 06. 25. AM 08:57
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