Answer: JavaScript has both strict and type–converting comparisons:
- Strict comparison (e.g., ===) checks for value equality without allowing coercion
- Abstract comparison (e.g. ==) checks for value equality with coercion allowed
# this example adds an option `.tomcatProxy` in namespace | |
# services.nginx.virtualHosts.*.locations.* | |
# that acts as alternative to specifying actual nginx config in .extraConfig | |
# | |
# execute with | |
/* | |
cat $(grep -o "/nix/store/[a-z0-9]*-nginx.conf" \ | |
$(NIX_PATH=nixos-config=./example.nix:$NIX_PATH \ | |
nix-build --no-out-link -E ' | |
with import <nixpkgs/nixos> {}; |
Answer: All APIs of Node.js library are aynchronous that is non-blocking. It essentially means a Node.js based server never waits for a API to return data. Server moves to next API after calling it and a notification mechanism of Events of Node.js helps server to get response from the previous API call.
Source: tutorialspoint.com
"use client" | |
import * as React from "react" | |
import { buttonVariants } from "@/components/ui/button" | |
import { ScrollArea } from "@/components/ui/scroll-area" | |
import { Select, SelectContent, SelectItem, SelectTrigger, SelectValue } from "@/components/ui/select" | |
import { cn } from "@/lib/utils" | |
import { ChevronLeft, ChevronRight } from "lucide-react" | |
import { DayPicker, DropdownProps } from "react-day-picker" |
#!/bin/bash | |
# Source: https://gist.github.com/dimo414/10d6f162fb6d72f517a041d28d92314f | |
# | |
# This is a basic heartbeat monitoring script suitible for adding to | |
# a machine's crontab to receive alerts (via https://healthchecks.io) | |
# when the machine is unhealthy. | |
# | |
# I use it to keep an eye on my headless Raspberry Pi, but it should | |
# work for most Linux machines. | |
# |
import { DynamoDBClient } from "@aws-sdk/client-dynamodb"; | |
import { DynamoDBDocumentClient, PutCommand } from "@aws-sdk/lib-dynamodb"; | |
import { randomUUID } from "crypto"; | |
const ddbDocClient = DynamoDBDocumentClient.from(new DynamoDBClient({})); | |
export const handler = async (event, context) => { | |
try { | |
const book = JSON.parse(event.body); | |
Windows 2012 R2 Essentials: http://download.microsoft.com/download/8/F/7/8F7024D2-AB2A-4BE2-8406-1E3AC49C5C1F/9600.16384.WINBLUE_RTM.130821-1623_X64FRE_SERVER_SOLUTION_EN-US-IRM_SSSO_X64FRE_EN-US_DV5.ISO
Windows 2016: https://software-download.microsoft.com/download/pr/Windows_Server_2016_Datacenter_EVAL_en-us_14393_refresh.ISO
Windows 2019 Essentials: https://software-download.microsoft.com/download/pr/17763.737.190906-2324.rs5_release_svc_refresh_SERVERESSENTIALS_OEM_x64FRE_en-us_1.iso
I get asked pretty regularly what my opinion is on merge commits vs rebasing vs squashing. I've typed up this response so many times that I've decided to just put it in a gist so I can reference it whenever it comes up again.
I use merge, squash, rebase all situationally. I believe they all have their merits but their usage depends on the context. I think anyone who says any particular strategy is the right answer 100% of the time is wrong, but I think there is considerable acceptable leeway in when you use each. What follows is my personal and professional opinion:
a4b.amazonaws.com | |
access-analyzer.amazonaws.com | |
account.amazonaws.com | |
acm-pca.amazonaws.com | |
acm.amazonaws.com | |
airflow-env.amazonaws.com | |
airflow.amazonaws.com | |
alexa-appkit.amazon.com | |
alexa-connectedhome.amazon.com | |
amazonmq.amazonaws.com |