diff --git a/python/Tic-Tac-Toe using Minimax.py b/python/Tic-Tac-Toe using Minimax.py
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+GAME_INCOMPLETE = 0
+GAME_DRAW = 1
+GAME_X = 2
+GAME_O = 3
+
+X = 1
+O = -1
+EMPTY = 0
+
+# This function tests if a specific player wins. Possibilities:
+#     Three rows    [X X X] or [O O O]
+#     Three cols    [X X X] or [O O O]
+#     Two diagonals [X X X] or [O O O]
+# param  board: the state of the current board
+# return GAME_INCOMPLETE, GAME_DRAW, GAME_X, or GAME_O
+def evaluate_game(board):
+
+    win_states = [[board[0][0], board[0][1], board[0][2]],
+                  [board[1][0], board[1][1], board[1][2]],
+                  [board[2][0], board[2][1], board[2][2]],
+                  [board[0][0], board[1][0], board[2][0]],
+                  [board[0][1], board[1][1], board[2][1]],
+                  [board[0][2], board[1][2], board[2][2]],
+                  [board[0][0], board[1][1], board[2][2]],
+                  [board[2][0], board[1][1], board[0][2]]]
+
+    if [X, X, X] in win_states:
+        return GAME_X
+    if [O, O, O] in win_states:
+        return GAME_O
+    for row in board:
+        for i in row:
+            if i == EMPTY:
+                return GAME_INCOMPLETE
+    return GAME_DRAW;
+
+# Outputs the current game state to the console
+# param  board: the state of the current board
+def print_board(board):
+    for row in range(len(board)):
+        line = ""
+        for col in range(len(board[row])):
+            if board[row][col] == X:
+                line = line + ' X '
+            elif board[row][col] == O: 
+                line = line + ' O '
+            else:
+                line = line + "   "
+            if col < 2:
+                line = line + "|"
+        print(line)
+        if row < 2:
+            print("-----------")
+
+
+# This function plays the O player (The opponent)
+#     Presently I have made O simply return the first valid move I find
+#     If you like, you can make this function match your X function to watch two minimax agents duke it out
+#     But really, this can be defined to anything you want it to do for testing. I will only be testing "X_move"
+# param  board: the state of the current board
+# return a tuple (i,j) with the row, col of O's chosen move
+def O_move(board):
+    for row in range(len(board)):
+        for col in range(len(board[row])):
+            if board[row][col] == EMPTY:
+                return (row, col)
+    print("ERROR! No Valid Move!")
+
+
+def minimax(board, depth,move):
+    game_winner = evaluate_game(board)
+    if (game_winner == GAME_X):
+        return 10
+    elif (game_winner == GAME_O):
+        return -10
+    elif (game_winner == GAME_DRAW):
+        return 0
+
+    if move == "O":
+        best = 1000
+        i, j = O_move(board)
+        board[i][j] = O
+        best = min(best,minimax(board, depth+1, "x"))
+        board[i][j] = EMPTY
+        return best-depth
+
+    best = -1000
+
+    for row in range(len(board)):
+        for col in range(len(board[row])):
+            if (board[row][col] == EMPTY):
+
+                board[row][col] = X
+
+                best = max(best, minimax(board,depth+1,"o"))
+
+                board[row][col] = EMPTY
+
+    return best-depth
+                
+    
+    
+
+# This function plays the X player (The player)
+#     This is the main functionality you will implement with the minimax algoithm
+# param  board: the state of the current board
+# return a tuple (i,j) with the row, col of X's chosen move
+def X_move(board):
+    #TODO: Implement the Minimax Algorithm
+    #      Given an input game state, find the best move for X with the minimax algorithm
+    #      For scores, you can use +10 for an X win, -10 for a O win, and 0 for a Draw
+    #      In addition, in order to motivate the agent to win or lose as soon as possible, 
+    #      subtract the depth of completed game state from the score. For Example:
+    #
+    #      If the input state is: X |   | X
+    #                               |   | O
+    #                               | O | 
+    #
+    #      Some potential completed game states might have the scores:
+    #
+    #      X | O | X     X Win = 10
+    #        | X | O  ->             -> Score = 7
+    #        | O | X     Depth = 3
+    #
+    #      X | X | X     X Win = 10
+    #        |   | O  ->             -> Score = 9
+    #        | O |       Depth = 1
+    #
+    #      X | O | X     Draw  = 0
+    #      O | X | O  ->             -> Score = -5
+    #      O | O | X     Depth = 5
+    #
+    #      X | O | X     O Win = -10
+    #      X | O | O  ->             -> Score = -15  -> This state is actually not possible, because X always goes first
+    #      O | O | X     Depth = 5                      However, in the input state I used, its actually impossible for O to win, as far as I can tell...
+    #
+
+
+    #code begins !
+    bestVal = -1000
+    bestMove = (-1,-1)
+    for row in range(len(board)):
+        for col in range(len(board[row])):
+            if board[row][col] == EMPTY:
+                board[row][col] = X
+
+                moveVal = minimax(board,1, "o")
+                board[row][col] = EMPTY
+
+                if (moveVal > bestVal):
+                    bestVal= moveVal
+                    bestMove = (row,col)
+
+    return (bestMove)
+    print("ERROR! No Valid Move!")
+    #END FILLER CODE
+
+
+board = [[EMPTY, EMPTY, EMPTY],
+         [EMPTY, EMPTY, EMPTY],
+         [EMPTY, EMPTY, EMPTY]]
+
+game_winner = evaluate_game(board)
+#Game Loop
+while game_winner == GAME_INCOMPLETE:
+    i, j = X_move(board)
+    board[i][j] = X
+    print_board(board)
+    game_winner = evaluate_game(board)
+    if game_winner != GAME_INCOMPLETE:
+        break;
+    i, j = O_move(board)
+    board[i][j] = O
+    print_board(board)
+    game_winner = evaluate_game(board)
+
+#Game is complete, announce winner
+if game_winner == GAME_DRAW:
+    print("Game was a Draw!")
+elif game_winner == GAME_X:
+    print("X Wins!")
+else:
+    print("O Wins!")