dask_1.py

import random
import pandas as pd

NUM_ROWS = 1000000

symbols = ["AAPL", "GOOG", "AMZN", "NFLX", "MSFT"]
prices = [random.randint(1, 500) for _ in range(50)]

def generate_random_stock_data(symbols, prices):
    return {"symbol": random.sample(symbols, 1)[0],
            "price" : random.sample(prices, 1)[0]}

stock_data = [generate_random_stock_data(symbols, prices) for _ in range(NUM_ROWS)]

stock_df = pd.DataFrame(stock_data,
                        columns=["symbol","price"])

stock_df.to_csv("stock_data.csv")

print(stock_df)