hgascon

sips -Z 1024 *.jpg

hgascon

#option 1:
for i in $(seq 1 N); do  dd if=/dev/urandom of=$i bs=1M count=2; done

#option 2:
dd if=/dev/urandom of=masterfile bs=1 count=20000
split -b 1000 -a 10 masterfilex

hgascon

rsync -aHAXxv --numeric-ids --delete --progress -e "ssh -T -c arcfour -o Compression=no -x" user@<source>:<source_dir> <dest_dir>

hgascon

# Useful when $(ls) gives the error that the file list too long is
find . -name "*.bin" -exec mv {} /path/to/dest/ \;

hgascon

for FILE in $(ls | grep -v \\.); do
     BIN_FILE=$(echo ${file:0:60}.bin)
     NEW_BIN_FILE=$FILE.bin
     mv $BIN_FILE $NEW_BIN_FILE
done

hgascon

for FILE in $(ls *.foo); do 
  NAME=$(echo $FILE | cut -d '_' -f 1)
  NAMEBAR=$NAME.bar
  mv $FILE DONE/
  mv $NAMEBAR DONE/
done

hgascon

#!/bin/bash

for item in *
do
     unzip $item
     name=$(echo $item | cut -f1 -d ' ' )
     echo "all_files.zip" $name".foo"
done

hgascon

gzip -d "" -f gzippe_file

#For several files under several directories
for item in $(ls -d -1 $PWD/**/*); do 
  echo $item; zcat $item > temp;
  sed -i 's/, / /g' temp;
  gzip temp;
  mv temp.gz $item;
done;

hgascon

s3cmd --access_key=12345 --secret_key="ABCDE" get s3://bucket/* --skip-existing

hgascon

#!/usr/bin/python

""" Read json files extracted from pcaps,
embed the features and output a libsvm file.
"""

import json
import numpy as np
from sklearn.feature_extraction.text import CountVectorizer
from sklearn.datasets import dump_svmlight_file