Vaex
원문: vaex
Use this skill for processing and analyzing large tabular datasets (billions of rows) that exceed available RAM. Vaex excels at out-of-core DataFrame operations, lazy evaluation, fast aggregations, efficient visualization of big data, and machine learning on large datasets. Apply
무엇을 하나요
Vaex Overview Vaex is a high performance Python library designed for lazy, out of core DataFrames to process and visualize tabular datasets that are too large to fit into RAM. Vaex can process over a billion rows per second, enabling interactive data exploration and analysis on datasets with billions of rows. When to Use This Skill Use Vaex when: Processing tabular datasets larger than available RAM (gigabytes to terabytes) Performing fast statistical aggregations on massive datasets Creating visualizations and heatmaps of large datasets Building machine learning pipelines on big data Converting between data formats (CSV, HDF5, Arrow, Parquet) Needing lazy evaluation and virtual columns to a…
실행 시 본인 API 키(BYOK)로 동작하며, 모델 비용은 사용자 계정에서 직접 결제됩니다.