Python, Pandas, Data Science, Machine Learning, Pandas Dataframe.
pandas as pd from multiprocessing import Pool N= 1_000_000 if __name__ == '__main__': cpus = os.cpu_count() pool = Pool(cpus-1) async_results = [] for _ in range(N): async_results.append(pool.apply_async(generate_record)) pool.close() pool.join() data = [] for i, async_result in