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/* At first the image is grayscaled by the filter and then on hover the filter is set to 0% */
img {
  -moz-filter: grayscale(100%);
  -o-filter: grayscale(100%);
  -webkit-filter: grayscale(100%);
          filter: grayscale(100%);
  
  -moz-transition: .5s ease-in-out;
  -o-transition: .5s ease-in-out;
  -webkit-transition: .5s ease-in-out;

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sass/
|
|– base/
|   |– _reset.scss       # Reset/normalize
|   |– _typography.scss  # Typography rules
|   ...                  # Etc…
|
|– components/
|   |– _buttons.scss     # Buttons
|   |– _carousel.scss    # Carousel

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Summary

This gist demonstrates the difference between threading and asyncio. To be clear, they're both limited by the Global Interpreter Lock and are both single process, multi-threaded. They are both forms of concurrency but not parallelism.

Threading, via concurrent.futures

Threading (via Thread, concurrent.futures) employs time-slicing of CPU. All threads are given a slot of CPU time to do work. If the thread is blocking (sleeping or blocked on sockets), then off it goes to the next thread. With many threads that are blocked for long periods, this begins to degrade into polling (polling vs. interrupt)

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__author__ = "Tanner Ray Martin & Osama Abbas"
__version__ = "1.1.0"

import time

import serial

# Creating your serial object
ser_conn = serial.Serial(
    port="COM3",  # COM is on windows, linux is different

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A Collection of Public NTP Servers

Table of Contents

• A Collection of Public NTP Servers
  • Google Public NTP [AS15169]
  • Cloudflare NTP [AS13335]
  • Facebook NTP [AS32934]
  • Microsoft NTP server [AS8075]
• Apple NTP server [AS714, AS6185]

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#!/usr/bin/python3
# Jimmy Taylor and Osama Abbas
# https://www.consentfactory.com/python-threading-queuing-netmiko/
# This method will spin up threads and process IP addresses in a queue

import os
import signal

# threading library
import threading