vapniks

Wanna do a talk at Emacs Conf?

Add yourself to the list below and give a short blurb about the topic. Go wild!

Dave Nolan

about something interesting

Joe Bloggs

vapniks

(defun mapcar@ (fun seq)
  (let (result)
    (loop for elem in (reverse seq)
          for newelem = (funcall fun elem)
          if (and (listp newelem)
                  (eq (car newelem) '@))
          do (loop for newelem2 in (cdr newelem)
                   do (setq result (cons newelem2 result)))
          else do (setq result (cons newelem result)))
    result))

vapniks

# stubby -  a local DNS Privacy stub resolver
#
# stubby  acts as a local DNS Privacy stub resolver, using DNS-over-TLS.
# Stubby encrypts DNS queries sent from the local machine to a DNS Privacy resolver, increasing end user privacy.
#

description	"stubby server"

start on runlevel [2345]
stop on runlevel [!2345]

vapniks

#!/usr/bin/awk -f

# Create variables containing counts of the number of different incident types within each area,
# where an area is defined as a unique longitude/latitude pair to the nearest 2 decimal places    

BEGIN {
    # Define csv fields
    FPAT="\"[^\"]*\"|[^\",]*";
    PROCINFO["sorted_in"] = "@ind_str_asc";
}

vapniks

;; This file contains an example of how to extract data from pdf files using `extract-text-from-files'
;; It extracts state-by-state data on total number of law enforcement employees from pdf files
;; downloaded from the FBI website.
;; There is a lot more data available in these files, but I only need total employees for now.

;; PDF files must first be downloaded from these URLs: 

;; https://www.fbi.gov/about-us/cjis/ucr/crime-in-the-u.s/1995/95sec6.pdf
;; https://www.fbi.gov/about-us/cjis/ucr/crime-in-the-u.s/1996/96sec6.pdf
;; https://www.fbi.gov/about-us/cjis/ucr/crime-in-the-u.s/1997/97sec6.pdf

vapniks

## Analysis of voting patterns for 2016 Eurovision song contest

library(clusterfly)
library(igraph)
library(magrittr)

## load the voting data
votedata <- read.csv("eurovision-votes_2016.csv")
## remove total votes column
votedata$total_votes <- NULL

vapniks

# Some examples of how to use geocode data of different formats.
## load libraries
library("magrittr")
library("eurostat")
library("eurostat")
library("ggplot2")
library("countrycode")
library("rgdal")
library("colorbrewer")
## plotting NUTS shape files

vapniks

#!/usr/bin/awk -f

BEGIN {FS=","}
$1 !~ /^[0-9]+$/ {print "Line "NR": Field 1 invalid"}
$2 !~ /^"?[a-zA-Z][^,]+"?$/ {print "Line "NR": Field 2 invalid"}
$3 !~ /^[0-9.]+$/ {print "Line "NR": Field 3 invalid"}
$4 !~ /[0-9]+/ {print "Line "NR": Field 4 invalid"}
$5 !~ /[0-9](\.[0-9])? - [0-9](\.[0-9])?/ {print "Line "NR": Field 5 invalid"}
/^$/ { print "Line "NR" is empty" }

vapniks

# convert wide-form Freedom House Good Governance data to long-form

# Read the data
wide <- read.csv("freedom_house_good_governance.csv")

# Get the columns corresponding to each wide-form variable that will be converted to long form. 
PRvars <- names(wide)[(1:40)*3-1] 
CLvars <- names(wide)[(1:40)*3]
Statusvars <- names(wide)[(1:40)*3+1]
# Get the times associated with the wide-form variables

vapniks

#!/usr/bin/perl

use DBI;

#example running
#csv_load_db.pl Changed.csv pat_regan_combined create_table.sql

$host="localhost";
$port=5433;
$db="geopolitical";