GoogleTrans API Error – Expecting value: line 1 column 1 (char 0)
I am having this error when translating thousands of text data in an iteration:
I am having this error when translating thousands of text data in an iteration:
I have a query which looks like this:
MacOS Sierra
I’m planning to rename several models in an existing Django project where there are many other models that have foreign key relationships to the models I would like to rename. I’m fairly certain this will require multiple migrations, but I’m not sure of the exact procedure.
I have this function, where player can type his name, but I want each letter to appear on the screen as he types them. Here is my function : def input_player_name(): player_name_screen = True name = "" win.blit(player_name_bg, (0, 0)) while player_name_screen: for event in pygame.event.get(): if event.type == pygame.KEYDOWN: if event.key == pygame.K_RETURN: print(name) … Read more
I am reading in data from a file, modify it and write it to another file. The new file will be read by another program and therefore it is crucial to carry over the exact formatting
I need to alter data during an Alembic upgrade.
Basically there seems to be massive confusion/ambiguity over when exactly PyEval_InitThreads() is supposed to be called, and what accompanying API calls are needed. The official Python documentation is unfortunately very ambiguous. There are already many questions on stackoverflow regarding this topic, and indeed, I’ve personally already asked a question almost identical to this one, so I won’t be particularly surprised if this is closed as a duplicate; but consider that there seems to be no definitive answer to this question. (Sadly, I don’t have Guido Van Rossum on speed-dial.)
My flask application currently consists of a single test.py file with multiple routes and the main() route defined. Is there some way I could create a test2.py file that contains routes that were not handled in test.py?
I am trying to read in a csv file with numpy.genfromtxt but some of the fields are strings which contain commas. The strings are in quotes, but numpy is not recognizing the quotes as defining a single string. For example, with the data in ‘t.csv’: