# 1. Why does ord("😀") give a different number than 0xf09f9880, which is what the hexdump of the same character yields?
# 
#   The ord() function returns the Unicode code point of a character as an integer, which is 128512 for the smiley face.
#   However, the hexdump command, returns the UTF-8 encoding of character.
#   The hexadecimal representation of 128512 is 0x1F600.
#   The UTF-8 encoding of the "😀" character is represented by the sequence of bytes F0 9F 98 80 in hexadecimal.
#   UTF-8 is one of the encoding schemes used to represent Unicode characters as binary data.
#
#
# 8. Hypothetical Situation: If the dataframe is not formatted or cleaned, while the column storing the tomoto sales data isn't named exactly same as 'Tomato_Sales'
#       It will raise a KeyError instead.
#
#
# 9. The solution of the hypothetical situation from my question 8:

def read_tomato_sales(file_name):
    data = pd.read_csv(file_name)
    if not pd.api.types.is_numeric_dtype(data["Tomato_Sales"]):
        raise TypeError("Tomato_Sales column should contain only numeric values")
    total_sales = data.iloc[:, -1].sum()  # This is the key
    print(f"Total tomato sales: {total_sales}")
# read_tomato_sales("tomato_sales_error.csv")


# 10. Different human languages can use various character encodings such as UTF-8, UTF-16, or ASCII. 
#   While using bytes, you can work with raw data without worrying about specific encodings. 
#   This allows us to avoid encoding-related errors and ensures compatibility across different language texts.

def encode_decode_data():
    print('-' * 20)
    data = input("Enter a sentence using any language: ")
    print('-' * 20)
    print("The sentence you entered is: {}".format(data))
    print('-' * 20)
    encoded_data = data.encode('utf-8')
    print("This sentence after encoded is: {}".format(encoded_data))
    print('-' * 20)
    byte_length = len(encoded_data)
    print("The byte length of this sentence is: {}".format(byte_length))
    print('-' * 20)
    decoded_data = encoded_data.decode()
    print("This sentence after decoded is: {}".format(decoded_data))
    print('-' * 20)

if __name__ == "__main__":
    run_function = 'function1'

    if run_function == 'function1':
        encode_decode_data()
    elif run_function == 'function2':
        read_tomato_sales(file_name)


# 2.5. REPL stands for Read-Eval-Print Loop. 
#   A REPL is an interactive programming environment that allows you to read input, evaluate expressions or statements, print output, and repeat the process. 
#   It provides a quick way to experiment with code, test small snippets, and get immediate feedback. 
#   The Python REPL allows you to interactively enter Python code and see the results immediately without needing to write a full script and execute it separately.


# 3. The '_' is a convention that holds the value of the last printed expression or the result of the last evaluated expression. 
#   The actual type of the "_" variable depends on the value assigned to it.