sblask

#!/bin/bash

root=http://ngm.nationalgeographic.com
path=ngm/photo-contest/2012/entries/wallpaper
type=(nature places people)

for kind in "${type[@]}"
do
    for week in {1..13}
    do

sblask

import org.apache.avro.generic.GenericRecord
import org.apache.avro.mapred.AvroKey
import org.apache.avro.mapreduce.AvroKeyInputFormat
import org.apache.hadoop.io.NullWritable
import org.apache.spark.SparkContext

private def readAvro(sparkContext: SparkContext, path: String) = {
  sparkContext.newAPIHadoopFile[
    AvroKey[GenericRecord],
    NullWritable,

sblask

[MASTER]

# Specify a configuration file.
#rcfile=

# Python code to execute, usually for sys.path manipulation such as
# pygtk.require().
#init-hook=

# Profiled execution.

sblask

redshift -l 59.29:18.01 -t 5800:4500

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logging.basicConfig(
    level=logging.INFO,
    format='%(asctime)s - %(levelname)5s - %(name)s - %(message)s',
    filename=os.path.join(os.path.sep, 'path'),
)

def get_log_handler():
    log_format = '%(asctime)s - %(levelname)5s - %(name)s - %(message)s'
    log_filename = os.path.join(os.path.sep, 'path')
    log_formatter = logging.Formatter(log_format)

sblask

ls -lhac

sblask

#!/bin/bash

root=http://ngm.nationalgeographic.com/wallpaper/img/

year_number=07
months_letters=(jan feb march april may june july aug sept oct nov dec)
for month in {1..12}
do
    month_letters=${months_letters[month - 1]}
    for index in {1..20}

sblask

#!/bin/bash

root=http://ngm.nationalgeographic.com
months=(january february march april may june july august september october november december)

download() {
    year=$1
    from=$2
    to=$3
    for month in $(seq $from $to)

sblask

style "scrollbar"
{
    GtkScrollbar::trough-border = 0
}
class "Gtk*Scrollbar" style "scrollbar"

sblask

sudo sh -c "ulimit -n 65535 && exec su $LOGNAME"