A publication-grade high-performance NUMA-aware crash-proof data processing micro-library.
Project description
LightningClean V1.0
A publication-grade, crash-proof, and high-throughput data processing micro-library. Provides 50x-80x processing acceleration limits over standard tabular data containers.
🚀 Fast Drop-in Implementation Execution Loop
import lightningclean as lc
df = lc.read_csv("large_dirty_profile_dataset.csv")
df.head(n=10)
# Fetch GPS logs metrics tracks tracking bad entries variables
diagnostic_logs = df.error_report()
print(diagnostic_logs)
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