It's Awesome To Use Chat GPT To Write Docstring For Python Functions   

I just found another helpful feature that Chat GPT can do for me.  As I'm coding away, I suddenly have the need to write a docstring for a helper function, but I'm too lazy.  What am I supposed to do?  Easy!  Chat GPT can help me with this!  Here is how the story actually unfolds.  So, I was trying to download some YFinance data for a stock app that I'm coding, and I needed to write this helper function:

def download_stock_data_for_wcr_view(ticker_list, start_date, end_date):
    stock_data_list = []
    for t in ticker_list:
        if not os.path.exists(f'tools/data/{t}.csv'):
            stock_data = yf.download(f'{t}', start=start_date, end=end_date)
            if os.path.exists('tools/data'):
                stock_data.to_csv(f'tools/data/{t}.csv')
                stock_data_list.append(f'stock_data_{t}: tools/data/{t}.csv')
        else:
            stock_data_list.append(f'stock_data_{t}: tools/data/{t}.csv')
    return stock_data_list

To help remind me what this function will do in the future, I need an excellent docstring detailing what this function can do.  I hate writing docstring on my own most of the time!  It's tedious, and if I'm lazy I could write a bad docstring.  I went to Chat GPT and asked for help.  It showed me the version below with the correct docstring.  

def download_stock_data_for_wcr_view(ticker_list, start_date, end_date):
    """
    This function downloads the stock data of a list of tickers in the given date range and stores it as a CSV file in the 'tools/data/' directory.

    Params:
    ticker_list (list): List of stock tickers.
    start_date (str): Start date in the format 'YYYY-MM-DD'.
    end_date (str): End date in the format 'YYYY-MM-DD'.

    Returns:
    stock_data_list (list): A list of file paths where the stock data for each ticker is stored as a CSV file.
    """
    stock_data_list = []
    for t in ticker_list:
        if not os.path.exists(f'tools/data/{t}.csv'):
            stock_data = yf.download(f'{t}', start=start_date, end=end_date)
            if os.path.exists('tools/data'):
                stock_data.to_csv(f'tools/data/{t}.csv')
                stock_data_list.append(f'stock_data_{t}: tools/data/{t}.csv')
        else:
            stock_data_list.append(f'stock_data_{t}: tools/data/{t}.csv')
    return stock_data_list

Isn't this cool?