# question 8: 	If the column or data type is invalid, and we take them into calculations without noticing this, wrong number will be produced.
# question 9：	
def read_tomato_sales(file_name):
        data = pd.read_csv(file_name)
        if "Tomato_Sales" in data.columns and data["Tomato_Sales"].dtype == "int64":
            total_sales = data["Tomato_Sales"].sum()
            print(f"Total tomato sales: {total_sales}")
        else:
            raise ValueError("Invalid column or data type.")
# question 10:	Reasons: 
# 1. Different languages may have different character encodings, which define how characters are represented 
# as binary data. By using bytes, you can handle various character encodings, such as UTF-8, UTF-16, or others. 
# 2. Bytes are language-agnostic and treat text as raw binary data. 
# 3. Bytes can handle any kind of binary data, including text data in different languages, as well as
#  non-textual data such as images, audio, or video.
def process_multilingual_data(data):
    # Convert string to bytes using UTF-8 encoding
    byte_data = data.encode('utf-8')

    # Convert bytes back to string for display or further processing
    processed_data = byte_data.decode('utf-8')

    return processed_data

# Example usage
text = "This is shunan zhao"
processed_text = process_multilingual_data(text)
print(processed_text)
# 1: ord("😀") gives you the Unicode code point of the character, while 0xf09f9880 represents the byte 
# sequence in UTF-8 encoding used to represent that character.
# 2.5: A REPL  is an interactive programming environment that allows you to enter commands or expressions, 
# which are then evaluated and the results are printed or displayed. 
# 3: the "_" variable is a special variable that holds the result of the last executed expression or 
# statement. It is often referred to as the "underscore variable."
#The type can vary based on the context and the value assigned to  in the current REPL session. For example:
# If the last executed expression was an integer, the type of "_" would be int.
# If the last executed expression was a string, the type of "_" would be str.
# If the last executed expression was a list, the type of "_" would be list.