Achille M. aschmu

## README.md

      
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                fperez
                / README.md
            
            
              Last active
              July 1, 2021 04:43
            
              
                Polyglot Data Science with IPython
              
          
    Polyglot Data Science with IPython & friends

Author: Fernando Pérez.
A demonstration of how to use Python, Julia, Fortran and R cooperatively to analyze data, in the same process.
This is supported by the IPython kernel and a few extensions that take advantage of IPython's magic system to provide low-level integration between Python and other languages.
See the companion notebook for data preparation and setup.

  
## pytorch-lambda-deploy.sh
#
# written for Amazon Linux AMI
# creates an AWS Lambda deployment package for pytorch deep learning models (Python 3.6.1)
# assumes lambda function defined in ~/main.py
# deployment package created at ~/waya-ai-lambda.zip
#

#
# install python 3.6.1
#

## parallel_ar.ipynb

      
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                ChadFulton
                / parallel_ar.ipynb
            
            
              Created
              November 30, 2017 03:16
            
              
                Parallel AR
              
          
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## rbm_after_refactor.py
import tensorflow as tf
import numpy as np
import os

import zconfig
import utils


class RBM(object):

## send-to-R-new-line.sublime-macro
// Purpose: This is a macro which will send a selection of text to sublimeREPL.
// Note: Add this to your macros, which can be accessed from Tools > Macros or saving to your Sublime Text Packages folder.
[
 {"command": "repl_transfer_current", "args": {"scope": "selection"}}
 {"command": "move", "args": {"by": "lines", "forward": true}}
]
	#
	# written for Amazon Linux AMI
	# creates an AWS Lambda deployment package for pytorch deep learning models (Python 3.6.1)
	# assumes lambda function defined in ~/main.py
	# deployment package created at ~/waya-ai-lambda.zip
	#

	#
	# install python 3.6.1
	#
	import tensorflow as tf
	import numpy as np
	import os

	import zconfig
	import utils


	class RBM(object):
	// Purpose: This is a macro which will send a selection of text to sublimeREPL.
	// Note: Add this to your macros, which can be accessed from Tools > Macros or saving to your Sublime Text Packages folder.
	[
	{"command": "repl_transfer_current", "args": {"scope": "selection"}}
	{"command": "move", "args": {"by": "lines", "forward": true}}
	]