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Source channel @githubtrending · Post #15123 · Sep 6

#rust#artificial_intelligence#big_data#data_engineering#distributed_computing#machine_learning#multimodal#python#rust Daft is a powerful, easy-to-use data engine that lets you process large-scale data using Python or SQL with high speed and efficiency. It supports complex data types like images and tensors, works well interactively for quick data exploration, and can scale to huge cloud clusters using Ray. Daft integrates smoothly with cloud storage and data catalogs, making it ideal for data engineering, analytics, and machine learning workflows. By using Daft, you can handle big, multimodal datasets faster and more flexibly, improving your ability to analyze and prepare data for AI models without complex setup or slowdowns. https://github.com/Eventual-Inc/Daft

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Google Facts™ [ ️@googlefactss🌎]

@googlefactss · Post #40492 · 01/07/2026, 03:04 AM

The Charlie Hebdo terrorist shooting happened on January 7, 2015, in Paris, when two terrorists attacked the offices of the satirical magazine Charlie Hebdo. They killed 12 innocent people, including staff and police officers, in response to the magazine’s controversial cartoons of their prophet. The attack sparked global debates about free speech, terrorism, and security. The terrorists were later killed or captured by police.📰🇫🇷 [Source] @googlefactss #CharlieHebdo#FreeSpeech#Terrorism#ParisAttack#History#KeepResisting#NeverForget