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  【海外記事紹介】Python PandasがNumPyを捨て、より高速なPyArrowに移行 — 10倍以上の高速化を期待

  • 53 users
  • techfeed.io
  • テクノロジー
  • 2025/06/02

  • Python
  • techfeed
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  GitHub - lance-format/lance: Open Lakehouse Format for Multimodal AI. Convert from Parquet in 2 lines of code for 100x faster random access, vector index, and data versioning. Compatible with Pandas, DuckDB, Polars, Pyarrow, and PyTorch with more integrat

  • 5 users
  • github.com/lance-format
  • テクノロジー
  • 2023/02/12

  Lance is an open lakehouse format for multimodal AI. It contains a file format, table format, and catalog spec that allows you to build a complete lakehouse on top of object storage to power your AI workflows. Lance is perfect for: Building search engines and feature stores with hybrid search capabilities. Large-scale ML training requiring high performance IO and random access. Storing, querying,

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