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Source channel @olddriverGDstudy · Post #38 · Mar 17

#知识 性爱技巧 有男生问我:爱爱时很快就射,怎么办?我回答:节奏放慢,不要着急插入,而要做足“三个半小时”: 1️⃣狂吻半小时,吻得她透不过气,吻得她嘴肿,让她深切感受到你对她的真实激情; 2️⃣玩弄半小时,在嘴上继续狂吻,在胯下开始抠摸,抠摸她的阴蒂,抠摸她阴道内的各个兴奋点,抠得她忍不住喘气呻吟,全身扭动而顾不上让你再吻; 3️⃣舔阴半小时,上边放开她的嘴,下边抽出你的手,趴下身去,把你的脸紧贴她的阴部,狂吻她的阴唇,狂舔她的阴蒂,狂吸并且狂咽她的阴液,让她浑身发抖,在高潮中连连叫床……这时,这时,你才可以在她“进来,进来,快进来”的连声央求下,从容不迫地挺身而出,掰开她的双腿,奋力插将进去,并且一插到底!这样,即使你很快就射,她也已经像死猪一样顾不上说你什么了!

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Чартомойка

@chartomojka · Post #1328 · 04/14/2025, 08:27 PM

Google встроил AI прямо в Google Sheets — на уровне формул. Больше не нужно вспоминать, как писать VLOOKUP или придумывать хитрые конструкции для сложных задач. Теперь достаточно написать промпт в =AI() — и модель сама поймёт, что в ячейках, и вернёт нужный результат. Примеры, что можно делать прямо в таблице в комметариях. #google#spreadsheet#ai ————————— Мысли Рвачева —————————

djangoproject

@djangoproject · Post #316 · 04/28/2017, 06:09 AM

https://github.com/blissnd/easyxls Convert any #spreadsheet into a Python internal #dict/#array data structure, for easy processing. Can also handle pivot tables. For pivot table usage, header_row_start & header_col_start need to be set equal to the top left corner of the pivot table => header_row_start=8, header_col_start='c' in the included example. Column IDs must always be lowercase chars in quotes, e.g. 'a'.

GitHub Trends

@githubtrending · Post #15244 · 10/24/2025, 12:30 PM

#python#airtable#airtable_alternative#airtable_replacement#application_builder#automations#dashboards#database#low_code#no_code#no_code_database#no_code_platform#online_database#postgresql#restful_api#self_hosted#spreadsheet Baserow is a powerful, open-source tool that lets you build databases and applications without coding. It offers full control over your data and environment, allowing self-hosting and customization. Unlike Airtable, Baserow doesn't limit your data storage or API calls, making it ideal for large projects. It combines the ease of a spreadsheet with advanced data management features, including dashboards and automation tools. This gives users complete ownership of their data and avoids vendor lock-in, making it a great choice for businesses needing flexibility and scalability. https://github.com/baserow/baserow