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Concurrency & performance

asyncio, threading, multiprocessing, and profiling-friendly performance patterns.

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Concurrency & performance medium

How to Parse JSON Files in Parallel with Python ThreadPoolExecutor

Load and transform JSON records from multiple files concurrently using ThreadPoolExecutor for faster I/O-bound parsing.

threadpool json concurrency
Python 
import time
from concurrent.futures import ThreadPoolExecutor
import json

def load_json_file(path):
    with open(path, 'r') as f:
        return json.load(f)

def transform_record(record):
    record['full_name'] = f"{record.pop('first_name', '')} {record.pop('last_name', '')}".strip()
    record['score'] = int(reco…
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