dleybz

from scapy.all import *

def arp_display(pkt):
  if pkt[ARP].op == 1: #who-has (request)
    if pkt[ARP].psrc == '0.0.0.0': # ARP Probe
      print "ARP Probe from: " + pkt[ARP].hwsrc

print sniff(prn=arp_display, filter="arp", store=0, count=10)

dleybz

from scapy.all import *
def arp_display(pkt):
  if pkt[ARP].op == 1: #who-has (request)
    if pkt[ARP].psrc == '0.0.0.0': # ARP Probe
      if pkt[ARP].hwsrc == 'RE:PL:AC:E_:TH:IS': #make sure you input your MAC address here!
        print "My BigMACs bring all the boys to the yard"
      else:
        print "My BigMACs weren't big enough"

dleybz

from twilio.rest import TwilioRestClient
 
# Your can find your AccountSID and AuthToken from http://twilio.com/user/account
account_sid = "YOUSHOULDPUTYOURSIDHERE" #Replace this with your account ID
auth_token = "YOUSHOULDPUTYOURAUTHTOKENHERE" #Replacet his with your Auth Token
client = TwilioRestClient(account_sid, auth_token)
 
call = client.calls.create(to="+17078675309", #Replace this with the phone number you wish to recieve calls at
                           from_="+19006492568", #Replace this with the phone number Twilio assigned to you
                           url="http://twimlets.com/holdmusic?Bucket=com.twilio.music.ambient")

dleybz

[unix_http_server]
file=/tmp/supervisor.sock   ; (the path to the socket file)

[inet_http_server]         ; inet (TCP) server disabled by default
port=127.0.0.1:9002        ; (ip_address:port specifier, *:port for all iface)

[supervisord]
logfile=/tmp/supervisord.log ; (main log file;default $CWD/supervisord.log)
logfile_maxbytes=50MB        ; (max main logfile bytes b4 rotation;default 50MB)
logfile_backups=10           ; (num of main logfile rotation backups;default 10)

dleybz

cd /
cd home/pi/Desktop
sudo supervisord -c supervisord.conf
cd /

dleybz

#Reads in the csv containing emails and metadata, and extracts just the bodies of the emails
setwd("GitHub/MappingHRC")
whole<-read.csv("Emails.csv", stringsAsFactors = F)
long<-subset(whole, subset = nchar(whole$ExtractedBodyText) > 10)
simplified<-data.frame(long$ExtractedBodyText, stringsAsFactors = F)
names(simplified)<-"Body"

#Reads in the csv containing the names of states and their capitals
coun_and_cap<-read.csv("countries.csv", stringsAsFactors = F)[-3]
#from https://raw.githubusercontent.com/icyrockcom/country-capitals/master/data/country-list.csv

dleybz

Keybase proof

I hereby claim:

• I am dleybz on github.
• I am dleybz (https://keybase.io/dleybz) on keybase.
• I have a public key whose fingerprint is F5E1 58E2 D4B1 48C0 36F0 6399 1EB2 518A FD0D 9653

To claim this, I am signing this object:

dleybz

#These lines will check if you have the necessary packages installed, installs them if they are not already installed, and opens them
list.of.packages <- c("bigrquery", "ggplot2", "methods", "grid", "sysfonts", "showtext")
new.packages <- list.of.packages[!(list.of.packages %in% installed.packages()[,"Package"])]
if(length(new.packages)) install.packages(new.packages)
library(bigrquery)
library(ggplot2)
library(methods)
library(grid)
library(sysfonts)
library(showtext)

dleybz

def encode_fraud(df):
    def fraud_binary(x):
        if x == 'No':
            return 0
        else:
            return 1

    # Apply the function to the fraud column
    df.loc[:, 'FraudFound'] = df['FraudFound'].apply(fraud_binary)
    return df

dleybz

from category_encoders import TargetEncoder

def encode_categorical(df):
    te = TargetEncoder()
    cols = df.select_dtypes('object').columns
    for col in cols:
        df.loc[:, col] = te.fit_transform(X=df[col], y=df['FraudFound'])
    return df