Write.as API Documentation
WHAT YOU BECOME
Perfect for these scenarios
Process million-row datasets efficiently with filtering, grouping, and aggregation
Combine CSV and Parquet files seamlessly for comprehensive data integration
Stream process incoming data with lazy evaluation and optimized computations
Analyze trends in temporal data with rolling windows and resampling
MEASURED GAIN
Proven benefits and measurable impact
Process data 10x faster than traditional pandas operations
Cut memory usage by half with lazy evaluation and columnar storage
Read CSV files 100x quicker with multithreaded parsing
WHAT YOU GET
Files, tags and the three-step install
Tip: Read the documentation and the code before first use, so you know what it does and which permissions it needs.
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