title: Running python script on external hard disk (training neural network)
body: <p>I have a dataset that is too large to store locally and I want to train a neural network.</p>
  
  <p>Which would be faster? or are they the same? </p>
  
  <p>1) All files are stored on the external hard drive. The python file is run in the directory of the hard drive that loads the data and trains the network</p>
  
  <p>2) Python files are saved locally and the loading of the dataset during training is done by pointing it to the dataset on the external hard drive </p>
  
  <p>I'd assume that the execution speed and loading of the dataset will be equal in both these cases, but I'm not sure </p>