pandarallel: Pandas Multi-Core Acceleration in One Line
Pandarallel: Boost Pandas with parallel processing. One line of code. Multi-core speed & progress bars. Perfect for slow apply() operations.
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In simple terms: pandarallel is a lightweight weapon for parallelizing Pandas operations. Often just changing one line of code can utilize multiple cores, and it even displays progress bars.
Perfect for scenarios where row-by-row or group-by-group function processing is painfully slow. Yes, those painful scenarios where apply takes hundreds of milliseconds per row and the entire table takes half a day to process.
What is this tool? What pain points does it solve?
pandarallel is essentially a parallel framework (multiprocessing) layered on top of Pandas, turning common APIs like DataFrame/Series apply, map, groupby into parallel_xxx versions. Pain points it solves: