Data Processing Example

import epochly
@epochly.optimize(level=3)
def process_records(records):
    results = []
    for record in records:
        # CPU-intensive transformation
        transformed = {
            'id': record['id'],
            'value': complex_calculation(record['data']),
            'score': compute_score(record)
        }
        results.append(transformed)
    return results
# Load data
with open('large_file.csv') as f:
    records = load_csv(f)
# Process with automatic parallelization
results = process_records(records)