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Introducing Daft: A High-Performance Distributed Dataframe Library for Multimodal Data

The challenges of processing multimodal data, including images, embeddings, and nested structures, have always posed a significant hurdle for developers, who typically have to trade off between performance, features, and ergonomics. We built Daft to be a game-changer, providing an efficient solution for handling multimodal data by leveraging the power of Rust and the Arrow format while still being Pythonic!
Slack Group Compute Engine Memory Management Core Processing

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