yamaya

# Xcode 4.3.3
Apple clang version 3.1 (tags/Apple/clang-318.0.61) (based on LLVM 3.1svn)
Target: x86_64-apple-darwin11.4.0
Thread model: posix

# Xcode 4.3.2
Apple clang version 3.1 (tags/Apple/clang-318.0.58) (based on LLVM 3.1svn)
Target: x86_64-apple-darwin11.4.0
Thread model: posix

emhart

library(lme4)
library(ggplot2)

#create some levels
levs <- as.factor(c("l1","l2","l3","l4","l5"))

#set the factor means
f_means <- c(6,16,2,10,13)

# set individual as a factor

cgoldberg

#!/usr/bin/env python
# Corey Goldberg, 2013

import argparse

import pkgtools.pypi


"""
Command line script to lookup packages on Python Package Index (PyPI).

jiahao

#Set up data partition
sudo mkdir /data
sudo chmod 777 /data
sudo "echo /dev/xvdb   /data	ext4	rw,user,exec,comment=cloudconfig	0	2 >> /etc/fstab"
sudo mount /data

#Install build environment
sudo sed -i "s/enabled=0/enabled=1" /etc/yum.repos.d/epel.epo
sudo yum -y update
sudo yum -y upgrade

Lazza

This script is NOT MAINTAINED

This snippet of code was posted in 2014 and slightly revised in 2016 and 2017. It was more of a quick'n'dirty script than a polished tool. It is made only for Linux and in Python 2, which has since become outdated.

I currently do not use it, and I suggest you avoid it as well. Please do not expect support for using this script.

🔥 If you need an alternative, @glaucocustodio has kindly suggested EasyVPN in this comment.

The rest of the README is left for historical purposed.

jmcastagnetto

require(RCurl)
require(XML)

# Let's make a special class
NISTBeaconResponse <- function (ts) {
    if(!is.integer(ts) &
       !inherits(ts, "POSIXct") &
       !inherits(ts, "POSIXlt")) {
        stop("We expected a unix timestamp as an integer or a POSIXct or POSIXlt value")
    }

conormm

R to python data wrangling snippets

The dplyr package in R makes data wrangling significantly easier. The beauty of dplyr is that, by design, the options available are limited. Specifically, a set of key verbs form the core of the package. Using these verbs you can solve a wide range of data problems effectively in a shorter timeframe. Whilse transitioning to Python I have greatly missed the ease with which I can think through and solve problems using dplyr in R. The purpose of this document is to demonstrate how to execute the key dplyr verbs when manipulating data using Python (with the pandas package).

dplyr is organised around six key verbs:

aseigneurin

Spark - Parquet files

Basic file formats - such as CSV, JSON or other text formats - can be useful when exchanging data between applications. When it comes to storing intermediate data between steps of an application, Parquet can provide more advanced capabilities:

• Support for complex types, as opposed to string-based types (CSV) or a limited type system (JSON only supports strings, basic numbers, booleans).
• Columnar storage - more efficient when not all the columns are used or when filtering the data.
• Partitioning - files are partitioned out of the box
• Compression - pages can be compressed with Snappy or Gzip (this preserves the partitioning)

The tests here are performed with Spark 2.0.1 on a cluster with 3 workers (c4.4xlarge, 16 vCPU and 30 GB each).

juanarbol

Chmod codes cheat sheet

How to use chmod codes in UNIX:

1. There are three types of permissions in files and folders in unix
   1. Read (r)
   2. Write (w)
   3. Execute (x)
2. And, there is a classification of users called UGO (explained bellow):
3. U ~> User (usually, you)

jamesfreeman959

# Useful references:
#
# https://superuser.com/questions/992511/emulate-a-keyboard-button-via-the-command-line
# https://ss64.com/vb/sendkeys.html
# https://social.technet.microsoft.com/Forums/windowsserver/en-US/96b339e2-e9da-4802-a66d-be619aeb21ac/execute-function-one-time-in-every-10-mins-in-windows-powershell?forum=winserverpowershell
# https://learn-powershell.net/2013/02/08/powershell-and-events-object-events/
#
# Future enhancements - use events rather than an infinite loop
$wsh = New-Object -ComObject WScript.Shell
while (1) {