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Source channel @githubtrending · Post #14693 · May 10

#jupyter_notebook#a2a#agentic_ai#dapr#dapr_pub_sub#dapr_service_invocation#dapr_sidecar#dapr_workflow#docker#kafka#kubernetes#langmem#mcp#openai#openai_agents_sdk#openai_api#postgresql_database#rabbitmq#rancher_desktop#redis#serverless_containers The Dapr Agentic Cloud Ascent (DACA) design pattern helps you build powerful, scalable AI systems that can handle millions of AI agents working together without crashing. It uses Dapr technology with Kubernetes to efficiently manage many AI agents as lightweight virtual actors, ensuring fast response, reliability, and easy scaling. You can start small using free or low-cost cloud tools and grow to planet-scale systems. The OpenAI Agents SDK is recommended for beginners because it is simple, flexible, and gives you good control to develop AI agents quickly. This approach saves costs, avoids vendor lock-in, and supports resilient, event-driven AI workflows, making it ideal for developers aiming to create advanced, cloud-native AI applications[1][2][3][4]. https://github.com/panaversity/learn-agentic-ai

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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'.

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@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