Solved: check internet speed using python

The main problem with checking internet speed using Python is that there is no standardized way to do it. Different programs will give you different results, and even if one program says your connection is fast, that might not be the case in reality.

import speedtest import os import time def test_speed(): s = speedtest.Speedtest() s.get_best_server() s.upload() return s.results.dict()['download'] / 8000000,  s.results.dict()['upload'] / 8000000,  s.results.dict()['ping'] def main(): while True: download, upload, ping = test_speed() print('Download: {:0.2f} MbpstUpload: {:0.2f} MbpstPing: {} ms'.format(download, upload, ping)) time.sleep(5) if __name__ == '__main__': main()

The first three lines import the speedtest, os, and time modules.

The next line defines a function named test_speed(). This function uses the speedtest module to test the speed of the internet connection and returns the results.

The next line defines a function named main(). This function calls the test_speed() function and prints the results. It then sleeps for 5 seconds before repeating.

Finally, if this file is being run as a script (rather than being imported as a module), the main() function is called.

What is internet speed

The speed of the internet in Python can be measured in bytes per second.

Internet speed services

There are a few different ways to measure the speed of an Internet connection in Python. The simplest way is to use the built-in function time . time() prints the current time in seconds.

The second way to measure the speed of an Internet connection is to use the netstat command. netstat displays all active network connections and their status. To get information about the speed of a specific network connection, use the -i option:

$ netstat -i | grep “:80” Active Internet connections (servers and clients) Proto Recv-Q Send-Q Local Address Foreign Address State PID/Program name tcp 0 0* LISTEN 548/sshd tcp6 0 0 :::80 :::* LISTEN 672/docker tcp6 0 1 ::1:80 :::* LISTEN 672/docker

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