Parallel File Processor

Version: 1.1.0 Category: Development Last Updated: 2026-01-02

Process multiple files concurrently with intelligent batching, progress tracking, and result aggregation for significant performance improvements.

Quick Start

from concurrent.futures import ThreadPoolExecutor, as_completed
from pathlib import Path
import pandas as pd

def process_csv(file_path: Path) -> dict:
    """Process a single CSV file."""
    df = pd.read_csv(file_path)
    return {'file': file_path.name, 'rows': len(df), 'columns': len(df.columns)}