We have two buckets:
- dev-storage-2023
- prd-storage-2023
export PROJECT_ID="blue-project-378421"
export PROJECT_NUMBER="32549352397"
If you purchase a textbook from McGraw Hill, the website to view it is clunky and only works on some devices. You can't go to specific page numbers, the search is super slow, etc. That's why I wrote this script to download the textbook as an ePub file for your own viewing.
Using this script is 100% legal. McGraw Hill publicly hosts their ebooks online in order for their web client to download it. Moreover, to use it, you must already have purchased the book you would like to download, so it is legally yours to use as you please. However, it IS illegal to use this for piracy purposes. DO NOT DISTRIBUTE ANY TEXTBOOKS YOU DOWNLOAD USING THIS SCRIPT.
function SecondsToClock(seconds) | |
local seconds = tonumber(seconds) | |
if seconds <= 0 then | |
return "00:00:00"; | |
else | |
hours = string.format("%02.f", math.floor(seconds/3600)); | |
mins = string.format("%02.f", math.floor(seconds/60 - (hours*60))); | |
secs = string.format("%02.f", math.floor(seconds - hours*3600 - mins *60)); | |
return hours..":"..mins..":"..secs |
******************************************************** | |
1. https://www.youtube.com/playlist?list=PLKnIA16_Rmva-wY_HBh1gTH32ocu2SoTr ---> Regression algorithm by campusX | |
2. https://youtube.com/playlist?list=PLZHQObOWTQDPD3MizzM2xVFitgF8hE_ab&si=hKH6Ml1NYOAsnHOJ ---> 3Blue1Brown | |
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Coursera – Machine Learning Engineering for Production (MLOps) Specialization 2024-3 | |
Deploying Machine Learning Models in Productions | |
https://dl3.downloadly.ir/Files/Elearning/Coursera_Deploying_Machine_Learning_Models_in_Production_2024-3_Downloadly.ir.rar | |
Introduction to Machine Learning in Productions |
public class Data { | |
private String packet; | |
// True: receiver waits | |
// False: sender waits | |
private boolean transfer = true; | |
public synchronized String receive() { | |
while (transfer) { | |
try { |
package main | |
import ( | |
"fmt" | |
"log" | |
"math/rand" | |
"net/http" | |
"time" | |
"github.com/prometheus/client_golang/prometheus" |
Awesome-WM is a X11 window manager, that is configured via Lua. Fennel is a Lisp for Lua. This shows a general setup of how to write your awesome-wm config using fennel directly without the compilation step (which would also work, but is not needed).
Fetch a recent Fennel version (the
See how a minor change to your commit message style can make a difference.
Tip
Have a look at git-conventional-commits , a CLI util to ensure these conventions and generate verion and changelogs
File 1 conents |