DevKDnuggetsabout 3 hours ago
FireDucks Speeds Pandas Up to 20x
1 min read
FireDucks, a compiler-accelerated DataFrame library by NEC, ran pandas workloads up to 20.77x faster in benchmarks. Sorting a 10-million-row dataset saw the biggest gain, with an average 7.28x speedup across seven tests. Lazy execution and multithreaded processing drive the improvements.
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