keevee09

## normalise.py
# -*- coding: utf-8 -*-

import unicodedata

""" Normalise (normalize) unicode data in Python to remove umlauts, accents etc. """

data = u'naïve café'
normal = unicodedata.normalize('NFKD', data).encode('ASCII', 'ignore')
print normal


## _verify-repair-permissions-disk.md

      
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                keevee09
                / _verify-repair-permissions-disk.md
            
            
              Created
              April 2, 2016 01:29
                — forked from bzerangue/_verify-repair-permissions-disk.md
            
              
                Mac OS X Utilities via Terminal: (Verify and Repair: Disk Permissions AND Disk / Software Update / TimeMachine)
              
          
    Verify and Repair Disk Permissions via Terminal (Mac OS X)

Verify Permissions
diskutil verifyPermissions /
Repair Permissions
diskutil repairPermissions /

  
## load-images.js
function loadImage(url, callback) {
  var image = new Image();
  image.onload = function() {
    callback(null, image);
  };
  image.onerror = function() {
    callback(new Error('Could not load image at ' + url));
  };
  image.src = url;
}

## crimes_in_Greater_London.R
library("tmap")
library("sp")

# read crime data, downloaded from https://data.police.uk/data/
tmpdir <- tempdir()
unzip("crimes_in_Greater_London_2016-08.zip", exdir = tmpdir)
crimes <- rbind(read.csv(file.path(tmpdir, "2016-08/2016-08-city-of-london-street.csv")),
                read.csv(file.path(tmpdir, "2016-08/2016-08-metropolitan-street.csv")))

# create SpatialPointsDataFrame of known locations

## US_choropleth.R
library("tmap")
library("readxl")
library("maptools")
library("grid")

# ers.usda.gov is undergoing change. found the file here:
download.file("http://www.ers.usda.gov/webdocs/DataFiles/Food_Atlas_Data_Access_and_Documentation_Downloads__18030//DataDownload.xls", destfile = "DataDownload.xls", mode="wb")
df <- read_excel("DataDownload.xls", sheet = "HEALTH")

# download data --- use link above as site is under construction

## Install_openCV_pyenv_OSX.md

      
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                keevee09
                / Install_openCV_pyenv_OSX.md
            
            
              Last active
              December 1, 2016 05:32
            
              
                November 2016 installation of opencv3 from source into pyenv virtualenv python3.5.2 environment 
              
          
    Installing openCV3 into pyenv virtual env

osx 10.11.6

--

install python-3:

$ pyenv install 3.5.2

  
## # neovim - 2016-11-17_07-31-16.txt
Homebrew build logs for neovim/neovim/neovim on macOS 10.11.6
Build date: 2016-11-17 07:31:16

## renamefiles.fish
# 'Item*' it the pattern to look for
# sed "s/I/i/g" is the replacement pattern
for f in Item*; mv $f (echo {$f} | sed "s/I/i/g"); end

## flair.R
# /r/rugbyunion flair numbers
library(tidyverse)

flair  <- read_csv('_r_rugbyunion_user_flair - Sheet1.csv')

flair

british_isles <- filter(flair, Flair_Code %in% c('england', 'ireland', 'wales', 'scotland'))

british_isles

## # paraview - 2017-12-20_09-53-13.txt
Homebrew build logs for homebrew/science/paraview on macOS 10.13.2
Build date: 2017-12-20 09:53:13
	# -- coding: utf-8 --

	import unicodedata

	""" Normalise (normalize) unicode data in Python to remove umlauts, accents etc. """

	data = u'naïve café'
	normal = unicodedata.normalize('NFKD', data).encode('ASCII', 'ignore')
	print normal
	function loadImage(url, callback) {
	var image = new Image();
	image.onload = function() {
	callback(null, image);
	};
	image.onerror = function() {
	callback(new Error('Could not load image at ' + url));
	};
	image.src = url;
	}
	library("tmap")
	library("sp")

	# read crime data, downloaded from https://data.police.uk/data/
	tmpdir <- tempdir()
	unzip("crimes_in_Greater_London_2016-08.zip", exdir = tmpdir)
	crimes <- rbind(read.csv(file.path(tmpdir, "2016-08/2016-08-city-of-london-street.csv")),
	read.csv(file.path(tmpdir, "2016-08/2016-08-metropolitan-street.csv")))

	# create SpatialPointsDataFrame of known locations
	library("tmap")
	library("readxl")
	library("maptools")
	library("grid")

	# ers.usda.gov is undergoing change. found the file here:
	download.file("http://www.ers.usda.gov/webdocs/DataFiles/Food_Atlas_Data_Access_and_Documentation_Downloads__18030//DataDownload.xls", destfile = "DataDownload.xls", mode="wb")
	df <- read_excel("DataDownload.xls", sheet = "HEALTH")

	# download data --- use link above as site is under construction
	Homebrew build logs for neovim/neovim/neovim on macOS 10.11.6
	Build date: 2016-11-17 07:31:16
	# 'Item*' it the pattern to look for
	# sed "s/I/i/g" is the replacement pattern
	for f in Item*; mv $f (echo {$f} \| sed "s/I/i/g"); end
	# /r/rugbyunion flair numbers
	library(tidyverse)

	flair <- read_csv('_r_rugbyunion_user_flair - Sheet1.csv')

	flair

	british_isles <- filter(flair, Flair_Code %in% c('england', 'ireland', 'wales', 'scotland'))

	british_isles
	Homebrew build logs for homebrew/science/paraview on macOS 10.13.2
	Build date: 2017-12-20 09:53:13