jnpn

## AD.hs
{-# LANGUAGE TypeSynonymInstances #-}
data Dual d = D Float d deriving Show
type Float' = Float

diff :: (Dual Float' -> Dual Float') -> Float -> Float'
diff f x = y'
  where D y y' = f (D x 1)

class VectorSpace v where
  zero  :: v

## index.html
<!DOCTYPE html>
<html>
<head>
    <title>Polling Example</title>
    <style type="text/css">
        .title, .result {
            display: inline-block;
            padding: 10px;
            background-color: #fffeee;
        }

## fdupes_delete_by_directory.py
#!/usr/bin/env python

import fileinput
import os.path as path
import re

class Processor(object):

    def __init__(self):
        self.condemnedFiles = []

## save_user_variables.md

      
              2 files
            
          
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                tgarc
                / save_user_variables.md
            
            
              Last active
              December 20, 2021 08:25
            
              
                automatically save ipython sessions
              
          
    I often like to start my ipython session from where I last left off - similar to saving a firefox browsing session. IPython already automatically saves your input history so that you can look up commands in your history, but it doesn't save your variables. Here are the steps to save the state of your variables on exit and have them loaded on startup:


Add the save_user_variables.py script below to your ipython folder (by default $HOME/.ipython). This script takes care of saving user variables on exit.


Add this line to your profile's ipython startup script (e.g., $HOME/.ipython/profile_default/startup/startup.py):

get_ipython().ex("import save_user_variables;del save_user_variables")


In your ipython profile config file (by default $HOME/.ipython/profile_default/ipython_config.py) find the following line:

# c.StoreMagics.autorestore = False

Uncomment it and set it to true. This automatically reloads stored variables on startup. Alternatively you can use reload the last session manually us


## README.md

      
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              1 fork
            
          
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                kdabir
                / README.md
            
            
              Created
              August 27, 2012 14:07
            
              
                Calculate space wasted because of duplicate files
              
          
    Calculate the space wasted by duplicate files on your Hard Drive

Sometimes (rather always), duplicate files eat up space on hardrive. If you want to compute the total space wasted by
such duplicate files this utility script may come handy. fdupes is a nice utility that finds the duplicate files in the
given directories. This script consumes the fdupes output and calculates the space wasted.
These steps assume *nix flavor OS (OS X/Linux) but this might work on Windows+Cygwin as well

Install fdupes on your machine (verify by doing fdupes --version on Terminal)
	{-# LANGUAGE TypeSynonymInstances #-}
	data Dual d = D Float d deriving Show
	type Float' = Float

	diff :: (Dual Float' -> Dual Float') -> Float -> Float'
	diff f x = y'
	where D y y' = f (D x 1)

	class VectorSpace v where
	zero :: v
	<!DOCTYPE html>
	<html>
	<head>
	<title>Polling Example</title>
	<style type="text/css">
	.title, .result {
	display: inline-block;
	padding: 10px;
	background-color: #fffeee;
	}
	#!/usr/bin/env python

	import fileinput
	import os.path as path
	import re

	class Processor(object):

	def __init__(self):
	self.condemnedFiles = []