vdchuyen

#!/usr/bin/env python
# -*- coding: utf-8 -*-

# Python 3 and compatibility with Python 2
from __future__ import unicode_literals, print_function	

import os
import sys
import re
import logging

vdchuyen

*** Jeff Rothschild *** - Facebook

https://oxide.computer/blog/on-the-metal-1-jeff-rothschild/

https://www.forbes.com/sites/ryanmac/2014/02/28/meet-jeff-rothschild-the-hidden-facebook-billionaire-old-enough-to-be-zuckerbergs-dad/#636858d555ed

*** Lee Holloway *** - Cloudflare

https://www.wired.com/story/lee-holloway-devastating-decline-brilliant-young-coder/

vdchuyen

manager: "how many days do you need to complete this feature?"

programmer: "n+1"

vdchuyen

Everyone/students have been taught and listened "excellent" all the times but they rarely heard "mediocre".

vdchuyen

The idea forget every shiny bullshit to go back to the core is not new. Same as blog / vlog ... to go back to only the meaning of thoughts as this gist: [https://gist.github.com/oliveratgithub/d5236c2968417ecd8eefaba9ca771105]

vdchuyen

This status has been in my head for a while, not just because this is a special year[https://en.wikipedia.org/wiki/1984] but this is indeed a special year:

• The name of a famous book by Murakami, 1984Q
• An Austrian band recorded a song name "Live Is Life", It was a European number-one hit in the summer of a year later. It has the same moto with "Pura Vida" in Puerto Rico.
• https://xkcd.com/1984: seems fit my type.

vdchuyen

This memo was used to note a very sad year !

So many oustanding ppl had passed away ! So many lives had gone to meet God ...

The emotions mixed up with tears and amazing moments. A little thought came to my mind for being a witness with these strange events, some disruptive technology and another definition of life. As all of readers this memo thought, this had to be a year everyone should forget ! The crash of everything: hopes, lifes, and happiness.

And finally, to sum up 2020 there is nothing to compete with this: Death to 2020(https://www.netflix.com/title/81332175) which come from the same team with Black Mirror(https://www.netflix.com/title/70264888).

vdchuyen

#!/opt/homebrew/bin/fish

echo "Google DNS"
curl -s 'https://dns.google/resolve?name='$argv[1]'&type='$argv[2] | jq '.Answer'

echo -e "\nCloudflare DNS"
curl -s --http2 -H "accept: application/dns-json" 'https://1.1.1.1/dns-query?name='$argv[1]'&type='$argv[2]  | jq '.Answer'

vdchuyen

##
# chuyenvd@vng
# 2023-09-25
##
import dns.resolver
import ipaddress

AS = "AS12345"

with open(AS) as f:

vdchuyen

Cloud GPUs: Servers, Providers & Everything You Would Ever Want Ya Dingus!

Your company's GPU computing strategy is essential whether you engage in 3D visualization, machine learning, AI, or any other form of intensive computing.

There was a time when businesses had to wait for long periods of time while deep learning models were being trained and processed. Because it was time-consuming, costly, and created space and organization problems, it reduced their output.

This problem has been resolved in the most recent GPU designs. Because of their high parallel processing efficiency, they are well-suited for handling large calculations and speeding up the training of your AI models.

When it comes to deep learning, GPUs can speed up the training of neural networks by a factor of 250 compared to CPUs, and the latest generation of cloud GPUs is reshaping data science and other emerging technologies by delivering even greater performance at a lower cost and with the added benefits of easy scalability and rapid