johnjohndoe

#!/bin/sh
#
# An example hook script to verify what is about to be committed.
# Called by "git commit" with no arguments.  The hook should
# exit with non-zero status after issuing an appropriate message if
# it wants to stop the commit.
#
# Usage:
# Remove the .sh file extension when you put the script in your hooks folder!
#

bearfrieze

Comprehensions in Python the Jedi way

by Bjørn Friese

Beautiful is better than ugly. Explicit is better than implicit.

-- The Zen of Python

I frequently deal with collections of things in the programs I write. Collections of droids, jedis, planets, lightsabers, starfighters, etc. When programming in Python, these collections of things are usually represented as lists, sets and dictionaries. Oftentimes, what I want to do with collections is to transform them in various ways. Comprehensions is a powerful syntax for doing just that. I use them extensively, and it's one of the things that keep me coming back to Python. Let me show you a few examples of the incredible usefulness of comprehensions.

ravasthi

authors:
  hanzou:
    name: Hanzou Hattori
    display_name: Hanzou
    gravatar: c66919cb194f96c696c1da0c47354a6a
    email: hanzou@company.com
    web: http://company.com
    twitter: company
    github: hhattori
  jorgen:

simonmichael

# unregister broken GHC packages. Run this a few times to resolve dependency rot in installed packages.                                                                                                                                     
# ghc-pkg-clean -f cabal/dev/packages*.conf also works.                                                                                                                                                                                     
function ghc-pkg-clean() {
    for p in `ghc-pkg check $* 2>&1  | grep problems | awk '{print $6}' | sed -e 's/:$//'`
    do
        echo unregistering $p; ghc-pkg $* unregister $p
    done
}

# remove all installed GHC/cabal packages, leaving ~/.cabal binaries and docs in place.                                                                                                                                                     

hadley

I think the two most important messages that people can get from a short course are:

a) the material is important and worthwhile to learn (even if it's challenging), and b) it's possible to learn it!

For those reasons, I usually start by diving as quickly as possible into visualisation. I think it's a bad idea to start by explicitly teaching programming concepts (like data structures), because the pay off isn't obvious. If you start with visualisation, the pay off is really obvious and people are more motivated to push past any initial teething problems. In stat405, I used to start with some very basic templates that got people up and running with scatterplots and histograms - they wouldn't necessary understand the code, but they'd know which bits could be varied for different effects.

Apart from visualisation, I think the two most important topics to cover are tidy data (i.e. http://www.jstatsoft.org/v59/i10/ + tidyr) and data manipulation (dplyr). These are both important for when people go off and apply

beh

javascript:q=location.href;if(document.getSelection){d=document.getSelection();}else{d='';};p=document.title;void(open('https://pinboard.in/add?later=yes&noui=yes&jump=close&tags=TAGS GO HERE&url='+encodeURIComponent(q)+'&description='+encodeURIComponent(d)+'&title='+encodeURIComponent(p),'Pinboard','toolbar=no,width=100,height=100'));

// Copy and paste the above into a new bookmark. Replace "TAGS GO HERE" with your tags. Presto!

apendleton

"""
This script ingests a CSV of last names and builds JSON output on the 
percentage of last names that begin with each letter of the alphabet.

I initially ran it on a CSV-ified version of the US Census's list of all last
names with more than 100 occurrences, and used the frequency field within that 
file to weigh the output, but absent that field, it assigns equal weight to 
each name, allowing us to also process our TCamp 2012 attendence list.

Using the script on the Census data available in:

reinholdsson

build:
	Rscript build.r

clean:
	rm -rf *.tex *.tex-e *.bbl *.blg *.aux *.out *.log *.spl plots/ cache/ *.gz\(busy\) *.gz *.pdf

mateuszgachowski-snippets

#!/bin/sh
#
####################################
# iTunes Command Line Control v1.0
# written by David Schlosnagle
# created 2001.11.08
# @edited Mateusz Gachowski
####################################

showHelp () {

omz

# IMPORTANT SETUP INSTRUCTIONS:
# 
# 1. Go to http://www.dropbox.com/developers/apps (log in if necessary)
# 2. Select "Create App"
# 3. Select the following settings:
#    * "Dropbox API app"
#    * "Files and datastores"
#    * "(No) My app needs access to files already on Dropbox"
#    * "All file types"
#    * (Choose any app name)