diff --git a/.vscode/launch.json b/.vscode/launch.json
index 5a7d733..0fcaa89 100644
--- a/.vscode/launch.json
+++ b/.vscode/launch.json
@@ -7,6 +7,13 @@
             "program": "simulation/SimulationRunner.py",
             "justMyCode": true,
             "args": "./HotdogSimulation.py"
+        },
+        {
+            "name": "Python: File",
+            "type": "python",
+            "request": "launch",
+            "program": "${file}",
+            "justMyCode": true
         }
     ]
 }
diff --git a/Leon_Submissions/Homework2.py b/Leon_Submissions/Homework2.py
new file mode 100644
index 0000000..302b335
--- /dev/null
+++ b/Leon_Submissions/Homework2.py
@@ -0,0 +1,30 @@
+# Question 7:
+# 1. Strings in Python are sequences of Unicode characters, while bytes 
+# are sequences of raw binary data.
+# 2. Strings in Python are immutable, bytes objects are mutable 
+# 3. Strings in Python are encoded using a specific character encoding, 
+# bytes objects do not have an inherent encoding and represent raw binary 
+# data.
+import sys
+
+string_example = "Hello"
+bytes_example = b"Hello"
+
+string_size = sys.getsizeof(string_example)
+bytes_size = sys.getsizeof(bytes_example)
+
+print("Size of string:", string_size)
+print("Size of bytes:", bytes_size)
+
+# Emojis are represented using Unicode characters, which require more 
+# bytes to store compared to ASCII characters. Therefore, if you have 
+# a string that contains emojis, its size will be larger than a string 
+# without emojis. 
+
+def print_string_as_numbers(input_string):
+    for char in input_string:
+        print(ord(char), end=' ')
+
+# Example usage
+input_string = "Hello, World!"
+print_string_as_numbers(input_string)
diff --git a/Scott_Submissions/HW3.py b/Scott_Submissions/HW3.py
new file mode 100644
index 0000000..2a6a163
--- /dev/null
+++ b/Scott_Submissions/HW3.py
@@ -0,0 +1,63 @@
+# 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.
+
+