tndoan

# convert from webm to mp3
ffmpeg -i input.webm output.mp3

# split mp3 file to several audio files whose length is 3600s and the names of these files begin with out<id>.mp3
ffmpeg -i out.mp3 -f segment -segment_time 3600 -c copy out%03d.mp3

tndoan

from moviepy.editor import *
import moviepy.video.fx.all as vfx

clip = VideoFileClip('fname.mp4')
mclip = clip.fx(vfx.mirror_x) # all frame in clip will be mirrored in x-axis

mclip.write_videofile('mirror_fname.mp4')

##################################################
clip = VideoFileClip('fname.mp4')

tndoan

Arts & Entertainment
    Aquarium
    Arcade
    Art Gallery
    Bowling Alley
    Casino
    Circus
    Comedy Club
    Concert Hall
    Country Dance Club

tndoan

import urllib2
import json
 
s = '{"data": [{"text": "I love Titanic."},{"text": "I hate Titanic."}]}' # 2 short text that we want to do sentiment analysis
 
response = urllib2.urlopen('http://www.sentiment140.com/api/bulkClassifyJson', s) # request to server
 
page = response.read() # get the response
 
print page # print the result

tndoan

#!/usr/bin/env bash
# memusg -- Measure memory usage of processes
# Usage: memusg COMMAND [ARGS]...
#
# Author: Jaeho Shin <netj@sparcs.org>
# Created: 2010-08-16
set -um

# check input
[ $# -gt 0 ] || { sed -n '2,/^#$/ s/^# //p' <"$0"; exit 1; }