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소스 채널 @phpdevelopersuz · Post #3001 · 1월 6일

3x4 rasmni Photoshop'siz tayyorlaymiz! (+kostyum kiydiramiz) #videodars / #media / #ofis ℹ️ Hujjatlar tayyorlashda kerak bo'ladigan 3x4 yoki 3.5x4.5 va boshqa formatdagi rasmlarni hech qanday studiyaga bormasdan, Photoshop dasturini ishlatmagan holatda tayyorlaymiz. Qo'shimchasiga kerakli kiyimni ham kiydiramiz :) ✅ Buning uchun eng avvalo telefonimizda 3x4 rasm uchun chiroyli selfi rasmga tushamiz. Rasmni videoda ko'rsatilgandek dastur yordamida tahrirlaymiz va tayyor! 🔻Videoda ishlatilgan dastur: PhotoDoc PRO 9.35 ▶️YouTube'da ko'rish (HD) ⏳: 05:26 💾: 21.3 MB (1080p) 💻 Kompyuterni birga o'rganamiz ⤵️ TelegramIYouTubeIXarita

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GitHub Trends

@githubtrending · Post #14977 · 2025. 07. 19. PM 01:30

#rust#ai#bigdata#database#lakehouse#olap#rust#serverless#snowflake#sql Databend is an open-source, cloud data warehouse built with Rust that offers a fast, cost-effective alternative to Snowflake. It supports both cloud and on-premise deployment, handles massive data (over 800 petabytes), and processes over 100 million queries daily. Databend excels in fast query execution, real-time data updates, and simplified data ingestion without extra ETL tools. It includes AI-powered analytics, advanced indexing, ACID compliance, and flexible schema support for semi-structured data. Using Databend can save you money, give you full control over your data, and provide high performance for complex analytics on large datasets[1][3]. https://github.com/databendlabs/databend