hadley

with(x, {
  f(z)
})

# Which of the following statements is this equivalent to?
#
#   a) x$f(x$z)
#   b) f(x$z)
#   c) x$f(z)
#   d) f(z)

derekpowell

theme(axis.text.x = element_text(angle = 90, hjust = 1))

mutterer

// this example uses the Toolbar.setIcon(toolName,icon) method
// added in v1.53h, to dynamically update its icon.

macro "Left Eye Action Tool - N44 C000 o00nn" {
  setTool("Googly Eyes Tool")
}
macro "Right Eye Action Tool - N44 C000 o00nn" {
  setTool("Googly Eyes Tool")
}

pgm

import argparse
import sqlite3
import sys
import numpy as np
import pandas as pd


def main():
    parser = argparse.ArgumentParser()
    parser.add_argument("in_csv_0")

edsu

#!/usr/bin/env python

"""

Twitter's API doesn't allow you to get replies to a particular tweet. Strange
but true. But you can use Twitter's Search API to search for tweets that are
directed at a particular user, and then search through the results to see if 
any are replies to a given tweet. You probably are also interested in the
replies to any replies as well, so the process is recursive. The big caveat 
here is that the search API only returns results for the last 7 days. So 

SimplGy

#!/bin/bash
# TODO: skip tiny files (so small they couldn't be photos)
# TODO: make sure sym links and other file system oddities are handled
# TODO: look at paralellization for perf boost

#
# Constants
#
CHAR_COUNT=12
BLOCK_COUNT=6

aileftech

$ grep -P "^[ABCDEFabcdefOoIi]{6,6}$" /usr/share/dict/words | tr 'OoIi' '0011' | tr '[:lower:]' '[:upper:]' | awk '{print "#" $0}' 
#ACAD1A
#B0BB1E
#DEBB1E
#AB1DED
#ACAC1A
#ACCEDE
#AC1D1C
#BAB1ED
#BA0BAB

ckandoth

Ensembl's VEP (Variant Effect Predictor) is popular for how it picks a single effect per gene as detailed here, its CLIA-compliant HGVS variant format, and Sequence Ontology nomenclature for variant effects.

Instead of the official instructions, we will use conda to install VEP and its dependencies. If you don't already have conda, install it into $HOME/miniconda3 as follows:

curl -sL https://repo.anaconda.com/miniconda/Miniconda3-py37_4.9.2-Linux-x86_64.sh -o /tmp/miniconda.sh
sh /tmp/miniconda.sh -bfp $HOME/miniconda3

Add the conda bin folder into your $PATH so that all installed tools are accessible via command-line. You can also add this to your ~/.bashrc

hadley

If you were to give recommendations to your "little brother/sister" on things that they need to do to become a data scientist, what would those things be?

I think the "Data Science Venn Diagram" (http://drewconway.com/zia/2013/3/26/the-data-science-venn-diagram) is a great place to start. You need three things to be a good data scientist:

• Statistical knowledge
• Programming/hacking skills
• Domain expertise

Statistical knowledge

kovetskiy

#!/bin/bash
###
### my-script — does one thing well
###
### Usage:
###   my-script <input> <output>
###
### Options:
###   <input>   Input file to read.
###   <output>  Output file to write. Use '-' for stdout.