Joseph Monaco jdmonaco

## iTunes.sh
#!/bin/sh

ITUNES=/Applications/iTunes.app/Contents/MacOS/iTunes

if [ -f $ITUNES ]; then
  sudo mv $ITUNES ${ITUNES}X
  echo iTunes disabled.
fi

sudo mv ${ITUNES}X $ITUNES &&

## t_welch.py
from collections import namedtuple

import numpy as np
import scipy.stats as st

TtestResults = namedtuple("Ttest", "T p")

def t_welch(x, y, tails=2):
    """
    Welch's t-test for two unequal-size samples, not assuming equal variances

## makegif
convert -delay %filltext:name=delay x0.01s:default=10:width=2% -resize %filltext:name=width:default=256:width=3% %filltext:name=glob:default=IMG*.JPG% %filltext:name=output:default=output.gif%

## chrome_navigate.scpt
#!/usr/bin/osascript

on run argv

	set browser to "Chrome"

	set leftKey to 123
	set upKey to 126
	set downKey to 125
	set rightKey to 124

## organize-photos.py
#!/usr/bin/env python

"""
organize-photos.py - Organize an unstructured folder tree of photos and movie
    files into a month-and-year folder structure.

Note: This is a minor rewrite of @cliss's extension [1,2] of @drdrang's
photo management scripts [3], and includes a tweak from @jamiepinkham [4,5].
The lists of raw [6] and video [7] file extensions were found elsewhere.

## skim-mate-relay.scpt
#!/usr/bin/osascript

on run argv

    set mateScript to "mate -l " & item 1 of argv & " " & item 2 of argv

    tell application "Terminal"
        set thisTab to do script mateScript
        set visible of window 1 to false
        delay 0.5

## user-link-system-wallpapers.sh
#!/bin/bash

mkdir -p ~/Library/Desktop\ Pictures
cd ~/Library/Desktop\ Pictures

find /Library/Desktop\ Pictures/ -size +1M -name "*.jpg" -exec ln -s "{}" . \; 2>/dev/null
find /Library/Screen\ Savers/ -size +1M -name "*.jpg" -exec ln -s "{}" . \; 2>/dev/null

## xcorr_maxlag.py
"""
Limited-lag numpy implementation of spike train cross-correlation.
"""

import numpy as np


def xcorr(a, b, maxlag=1.0, bins=128):
    """
    Compute the cross-correlogram of two spike train arrays.

## xcorr-comparison.py
"""
Spike train cross-correlogram methods.
"""

import time
import numpy as np
import matplotlib.pyplot as plt
from scipy import real
from scipy.fftpack import fft, ifft

## Circular-polar histogram.ipynb

      
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                jdmonaco
                / Circular-polar histogram.ipynb
            
            
              Created
              December 21, 2016 20:42
            
          
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	#!/bin/sh

	ITUNES=/Applications/iTunes.app/Contents/MacOS/iTunes

	if [ -f $ITUNES ]; then
	sudo mv $ITUNES ${ITUNES}X
	echo iTunes disabled.
	fi

	sudo mv ${ITUNES}X $ITUNES &&
	from collections import namedtuple

	import numpy as np
	import scipy.stats as st

	TtestResults = namedtuple("Ttest", "T p")

	def t_welch(x, y, tails=2):
	"""
	Welch's t-test for two unequal-size samples, not assuming equal variances
	#!/usr/bin/osascript

	on run argv

	set browser to "Chrome"

	set leftKey to 123
	set upKey to 126
	set downKey to 125
	set rightKey to 124
	#!/usr/bin/env python

	"""
	organize-photos.py - Organize an unstructured folder tree of photos and movie
	files into a month-and-year folder structure.

	Note: This is a minor rewrite of @cliss's extension [1,2] of @drdrang's
	photo management scripts [3], and includes a tweak from @jamiepinkham [4,5].
	The lists of raw [6] and video [7] file extensions were found elsewhere.
	#!/usr/bin/osascript

	on run argv

	set mateScript to "mate -l " & item 1 of argv & " " & item 2 of argv

	tell application "Terminal"
	set thisTab to do script mateScript
	set visible of window 1 to false
	delay 0.5
	#!/bin/bash

	mkdir -p ~/Library/Desktop\ Pictures
	cd ~/Library/Desktop\ Pictures

	find /Library/Desktop\ Pictures/ -size +1M -name "*.jpg" -exec ln -s "{}" . \; 2>/dev/null
	find /Library/Screen\ Savers/ -size +1M -name "*.jpg" -exec ln -s "{}" . \; 2>/dev/null
	"""
	Limited-lag numpy implementation of spike train cross-correlation.
	"""

	import numpy as np


	def xcorr(a, b, maxlag=1.0, bins=128):
	"""
	Compute the cross-correlogram of two spike train arrays.
	"""
	Spike train cross-correlogram methods.
	"""

	import time
	import numpy as np
	import matplotlib.pyplot as plt
	from scipy import real
	from scipy.fftpack import fft, ifft