How do I read a response from Python Requests?
I have two Python scripts. One uses the Urllib2 library and one uses the Requests library.
I have two Python scripts. One uses the Urllib2 library and one uses the Requests library.
Is it possible with Python to set the timezone just like this in PHP:
My question is about how to get batch inputs from multiple (or sharded) tfrecords. I’ve read the example https://github.com/tensorflow/models/blob/master/inception/inception/image_processing.py#L410. The basic pipeline is, take the training set as as example, (1) first generate a series of tfrecords (e.g., train-000-of-005, train-001-of-005, …), (2) from these filenames, generate a list and fed them into the tf.train.string_input_producer to get a queue, (3) simultaneously generate a tf.RandomShuffleQueue to do other stuff, (4) using tf.train.batch_join to generate batch inputs.
I’ve been trying to wrap my head around how threads work in Python, and it’s hard to find good information on how they operate. I may just be missing a link or something, but it seems like the official documentation isn’t very thorough on the subject, and I haven’t been able to find a good write-up.
My question is almost the same as this one:
Widget to Display subprocess stdout?
but a step further.
Code example:
Does it re-import every time the function is run?
I’m using python to analyse some large files and I’m running into memory issues, so I’ve been using sys.getsizeof() to try and keep track of the usage, but it’s behaviour with numpy arrays is bizarre. Here’s an example involving a map of albedos that I’m having to open:
docker started throwing this error:
I want to create a dynamic object (inside another object) in Python and then add attributes to it.