@ccc Can you elaborate on that? That looks similar to what I have, though, a little more compact. Are you saying that addresses the cloud sync issue here?

@cvp Thanks! That sounds like an interesting approach. I could append something unique each time and then when loading load the one with the largest unique value. I'll give that a try.

one problem with the logging module when used in a repl environment like pythonista is that when you rerun a script, it creates a new logger instance... so you need to have some extra logic.

here is the little cookbook that i use in pythonista:

import logging, sys logger = logging.getLogger('myapp') if not logger.handlers: filehdlr = logging.FileHandler('myapp.txt','w') strmhandler = logging.StreamHandler(sys.stdout) formatter = logging.Formatter('%(asctime)s %(levelname)s %(message)s') filehdlr.setFormatter(formatter) strmhandler.setFormatter(formatter) logger.addHandler(filehdlr) logger.addHandler(strmhandler) filehdlr.setLevel(logging.DEBUG) strmhandler.setLevel(logging.INFO) logger.setLevel(logging.DEBUG) % examples logger.debug('this gets logged to file only') logger.info('this shows to screen and file')

@zrzka Cool, thanks!

I know I’m way late, but try either the os or the pathlib module to create a symlink, this makes it so you can edit files in a local directory but still have them sync with the files app.

import numpy filename = 'YGa69ObX6WFj9mYa4EmW.csv' a = numpy.recfromcsv(filename) print(a[0]) print(a.dtype)

Works nicely but the third field is bytes instead of datetime64[ms].

@dgelessus thanks that helps a lot, and makes a lot sense. I'll make sure to not use input() on version 2. Even though I was just making files to mess around with not for any real purpose. Thanks a lot for explaining it.

Aha! Thank you very much.

Somehow I hadn't noticed that at first. I did notice it upon further playing, but thank you for your further elaboration.

: )

-- aaron