(board = mark and board = mark and board = mark) or # down the right side (board = mark and board = mark and board = mark) or # down the middle (board = mark and board = mark and board = mark) or # across the bottom (board = mark and board = mark and board = mark) or # across the middle Got the content from Udemy Course.ĭef win_check(board,mark): return ((board = mark and board = mark and board = mark) or # across the top def find_winner():īut this is most likely what you searched for. In this function i'm trying to find the winner. Turn2 = int(input("Player 2 \nPlease play your move, between values 0-8: ")) While Turn2 not in acceptables_positions: Turn2 = int(input("Player 2 \nPlease play your move: ")) #Change the index value and replace it with Player 1 sign Turn1 = int(input("Player 1 \nPlease play your move, between values 0-8: ")) While Turn1 not in acceptables_positions:
#Check if the input values is in the range of 0-8 Turn1 = int(input("Player 1 \nPlease play your move: ")) Print("Select position for your sign between 0 - 8\nYou can check the position board to be sure that your choice is in the place you want")Īcceptables_positions = Player1 = input("Please Choose Only X or O \n").upper() Player1 = input("Please Choose, X or O \n").upper()
Print("Position Board \n |\n".format(board,board,board,board,board,board,board,board,board)) Sorry for this, but I couldn't upload the question because it has too much code. When the indexes change with the letter x or o I want to check if they are equal. I check the indexes of my list if are equal, but it seems that is doesn't work. And we want to save our results as a 'm trying to find the winner in tic-tac-toe game. No matter if it is a float, integer or string.
GITHUB PERIAN DAATA CODE
In case you are interested in experimenting more with the Github crawler, a more useable Python code that summarizes everything we’ve done here can be found in here.ġ: NaN is used as a placeholder for missing data consistently in pandas. However, some knowledge of CSS and JavaScript would be very helpful to this end.
GITHUB PERIAN DAATA TRIAL
Depending on the quality of the HTML’s code, it is either straightforward or we need some trial and error with the browser’s Developer-Tools to find a way to the targeted element. You can access the same information in different ways. Consequently, the tedious part of the program is to find a robust DOM path to the piece of information in question. Just make sure that the normal flow of your crawler is not interrupted by some kind of exceptions. You can start your crawler overnight and come back the next day to find thousands of entries. Virtually any information can be extracted from any HTML (or XML) file, no matter how clean or messy the source code is, as long as it has some identifying tag surrounding it or nearby. I hope this brief introduction to BeautifulSoup in combination with Requests has given you an idea of the power and simplicity of web scraping and crawling in Python.
NAN return Īs output we get a list with a total of nine features, some of which could be ‘NaN’ - well, certainly not the users alias.įinally, we call the extract_info() function for all users in a for-loop and then save the output as a csv file. find_all ( 'span', class_ = 'text-bold color-text-primary' ) try : followers = numbers. # and not to write such a general catch method.įull_name = np. strip () except : # However, I would recommend you to specify the exception accurately, Def get_followers ( user, what = 'followers' ): url = ').
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