artickl

# https://superuser.com/questions/104656/convert-a-pdf-to-greyscale-on-the-command-line-in-floss/164857#164857

gs \
 -sOutputFile=output.pdf \
 -sDEVICE=pdfwrite \
 -sColorConversionStrategy=Gray \
 -dProcessColorModel=/DeviceGray \
 -dCompatibilityLevel=1.4 \
 -dNOPAUSE \
 -dBATCH \

artickl

# simple way to show public IP address of the client
# anyone can access it in the browser (like https://ip.example.com)
# or can be used in some scripting (like "curl ip.example.com")

# simply on NGINX functionality without any kind of additional tools or plugins
# just place this nginx config to /etc/nginx/sites-available/ip
# make a link in /etc/nginx/sites-enabled/ ($ ln /etc/nginx/sites-available/ip)
# reload nginx ($ service nginx reload)

server {

artickl

Each of these commands will run an ad hoc http static server in your current (or specified) directory, available at http://localhost:8000. Use this power wisely.

Discussion on reddit.

Python 2.x

$ python -m SimpleHTTPServer 8000

artickl

#!/usr/bin/env python3
"""
Very simple HTTP server in python for logging requests
Usage::
    ./server.py [<port>]
"""
from http.server import BaseHTTPRequestHandler, HTTPServer
import logging

class S(BaseHTTPRequestHandler):

artickl

#based on https://towardsdatascience.com/a-beginners-guide-to-building-your-own-face-recognition-system-to-creep-out-your-friends-df3f4c471d55

##install:
# pip3 install cmake
# pip3 install face_recognition
#    or pip3 install boost & pip --no-cache-dir install face_recognition 
# pip3 install numpy
# pip3 install dlib
# pip3 install opencv-python
##