keyerror

I have a deep nested dict (decoded from json, from the instagram api). My initial code was like this: caption = post['caption']['text'] But that would throw a NoneType or KeyError error if the 'caption' key or the 'text' key doesn't exist. So I came up with this: caption = post.get('caption', {}).get("text") Which works, but I'm not sure about the style of it. For instance, if I apply this technique to one of the deeper nested attributes I'm trying to retrieve, it looks pretty ugly: image_url = post.get('images',{}).get('standard_resolution',{}).get('url') Is there a better, more pythonic, way

I'm new to both Django and Python so please forgive me if I come off as annoying....I'm just very much misinformed! Error Code: http://i.gyazo.com/68d88cabf536b129dc37cde6c3ae319c.png I've googled about this 'KeyError' and it seems to be related to clean(). However, the example my lecturer gave me worked ok without it but when I tried to recreate what he gave me I kept getting this error. A bit of info: I had originally had a ForeignKey for the user for each submission so I changed it to a simple form to fill in (not a permanent solution) but I still get a KeyError. Here is my models, views

I use spaCy 1.6.0 on Ubuntu 14.04.4 LTS x64 with python3.5. To install the English model of spaCy, I tried to run: This gives me the error message: ubun@ner-3:~/NeuroNER-master/src$ python3.5 -m spacy.en.download Downloading parsing model Traceback (most recent call last): File "/usr/lib/python3.5/runpy.py", line 184, in _run_module_as_main "__main__", mod_spec) File "/usr/lib/python3.5/runpy.py", line 85, in _run_code exec(code, run_globals) File "/usr/local/lib/python3.5/dist-packages/spacy/en/download.py", line 25, in <module> plac.call(main) File "/usr/local/lib/python3.5/dist-packages

I'm currently facing an issue while trying to fit my GRU model with my training data. After a quick look on StackOverflow, I found this post to be quite similar to my issue : Simplest Lstm training with Keras io My own model is as follow : nn = Sequential() nn.add(Embedding(input_size, hidden_size)) nn.add(GRU(hidden_size_2, return_sequences=False)) nn.add(Dropout(0.2)) nn.add(Dense(output_size)) nn.add(Activation('linear')) nn.compile(loss='mse', optimizer="rmsprop") history = History() nn.fit(X_train, y_train, batch_size=30, nb_epoch=200, validation_split=0.1, callbacks=[history]) And the

I'm trying to run a Python script using cron in Linux, which should construct a dictionary of data. I'm attempting to use datetime().now().time() as keys in the dictionary, but it seems to raise an error. Can't the datetime type be used as a dictionary key in Python? If that is the case, what are my alternatives? Code: time_now = dt.datetime.now().time() date_today = dt.datetime.now().date() usage_dict_hourly = {} date_wise_dict = {} def constructing_dict(data_int): date_wise_dict[usage_dict_hourly[time_now]] = data_int print date_wise_dict Error: <ipython-input-9-ef6a500cc71b> in constructing