Data Science, Machine Learning, Mongodb, Python.
table in [tables[0] for tables in cursor.fetchall()]: print(table) → Fetching and calling the data in our notebook query = 'select * from churn' results = pandas.read_sql_query(query, conn) results.head() type(results) results.dtypes → Saving it as a CSV results.to_csv("output.csv", index=False)