Python, Pandas, Data Science, Machine Learning, Pandas Dataframe.
enumerate(async_results): data.append(async_result.get()) df = pd.DataFrame(data=data, columns=["CID", "Name", "Age", "City", "Plate", "Job", "Company", "Employed", "Social_Security", "Healthcare", "Iban", "Salary", "Car", "Tv"]) df.head() Image by the author. IO Pandas allows saving (exporting)