Victor Escorcia escorciav

## arxiv2kindle.ipynb

      
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                bshillingford
                / arxiv2kindle.ipynb
            
            
              Last active
              March 1, 2024 12:50
            
              
                arxiv2kindle: recompiles an arxiv paper for kindle-sized screens, and sends it to your wifi-enabled kindle
              
          
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## torch-atom.md

      
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                szagoruyko
                / torch-atom.md
            
            
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              December 15, 2016 04:47
            
          
    Using Torch in Atom

Install Atom from https://atom.io or with brew cask install atom
Then install packages (example apm install hydrogen, apm is a package manager for atom):

hydrogen
autocomplete-paths
language-lua


## h5_concatenation_snippet.py
# every input file has a different length,
# so I first scan through the files, compute their length,
# `self.lengths` here is an array of cumulative lengths
# so first I create the dataset for full length with resize(lengths[-1])
# then I fill it in.

    def run(self):
        with h5py.File(self.filename, mode='w') as h5f:
            for n, fitsfile in enumerate(self.files):
                print("Processing %s" % fitsfile)

## tmux_cheatsheet.markdown

      
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                henrik
                / tmux_cheatsheet.markdown
            
            
              Created
              March 3, 2012 19:47
            
              
                tmux cheatsheet
              
          
    tmux cheatsheet

As configured in my dotfiles.
start new:
tmux

start new with session name:
	# every input file has a different length,
	# so I first scan through the files, compute their length,
	# `self.lengths` here is an array of cumulative lengths
	# so first I create the dataset for full length with resize(lengths[-1])
	# then I fill it in.

	def run(self):
	with h5py.File(self.filename, mode='w') as h5f:
	for n, fitsfile in enumerate(self.files):
	print("Processing %s" % fitsfile)