Extract files from zip file and retain mod date?
I’m trying to extract files from a zip file using Python 2.7.1 (on Windows, fyi) and each of my attempts shows extracted files with Modified Date = time of extraction (which is incorrect).
Python
How to create in-memory file object
I want to make a in-memory file to use in pygame mixer. I mean something like http://www.pygame.org/docs/ref/music.html#pygame.mixer.music.load which says load() method supports file object.
How to Ignore Duplicate Key Errors Safely Using insert_many
I need to ignore duplicate inserts when using insert_many with pymongo, where the duplicates are based on the index. I’ve seen this question asked on stackoverflow, but I haven’t seen a useful answer.
Plot bar graph from Pandas DataFrame
Assuming i have a DataFrame that looks like this:
Python code to read registry
from _winreg import * """print r"*** Reading from SOFTWAREMicrosoftWindowsCurrentVersionRun ***" """ aReg = ConnectRegistry(None,HKEY_LOCAL_MACHINE) aKey = OpenKey(aReg, r"SOFTWAREMicrosoftWindowsCurrentVersionUninstall") for i in range(1024): try: asubkey=EnumKey(aKey,i) val=QueryValueEx(asubkey, "DisplayName") print val except EnvironmentError: break Could anyone please correct the error…i just want to display the “DisplayName” within the subkeys of the key the HKLMSOFTWAREMicrosoftWindowsCurrentVersionUninstall This is the error … Read more
Finding the user’s “My Documents” path
I have this small program and it needs to create a small .txt file in their ‘My Documents’ Folder. Here’s the code I have for that:
How to do CamelCase split in python
What I was trying to achieve, was something like this:
How to: Macports select python
When I enter:
TensorFlow: Remember LSTM state for next batch (stateful LSTM)
Given a trained LSTM model I want to perform inference for single timesteps, i.e. seq_length = 1 in the example below. After each timestep the internal LSTM (memory and hidden) states need to be remembered for the next ‘batch’. For the very beginning of the inference the internal LSTM states init_c, init_h are computed given the input. These are then stored in a LSTMStateTuple object which is passed to the LSTM. During training this state is updated every timestep. However for inference I want the state to be saved in between batches, i.e. the initial states only need to be computed at the very beginning and after that the LSTM states should be saved after each ‘batch’ (n=1).