"Rk" - Radhakrishna MV mvark

Permissions	Opera One	Edge	Chrome	Firefox	Vivaldi
Application Links - Allows apps to automatically open when launched from a link	No	Yes	No	No	No
Augmented reality - Ask when a site wants to create a 3D map of your surroundings or track camera position	Yes	Yes	Yes	No	Yes
Automatic downloads - Sites can ask to automatically download multiple files	Yes	Yes	Yes	No	Yes
Automatic full screen - Sites use this feature to enter full screen automatically. Typically, entering full screen requires user interaction.'	Yes	No	Yes	No	No
Automatic picture-in-picture - Sites can enter picture -in picture automatically	Yes	Yes	Yes	No	No
Autoplay - Allow or block media autoplay	No	Yes	No	Yes	Yes
Auto-verify - Sites can help verify you're not a bot	Yes	No	No	No	No
Background sync - Recently closed sites can finish sending and receiving data	Yes	Yes	Yes	No	Yes
Bluetooth Devices	No	No	No	No	Yes

Domain	Subtopic	Description
Domain 1: Introduction to Git and GitHub	Git and GitHub Basics	Describe version control
Domain 1: Introduction to Git and GitHub	Git and GitHub Basics	Define distributed version control
Domain 1: Introduction to Git and GitHub	Git and GitHub Basics	Describe Git
Domain 1: Introduction to Git and GitHub	Git and GitHub Basics	Describe GitHub
Domain 1: Introduction to Git and GitHub	Git and GitHub Basics	Explain the difference between Git and GitHub
Domain 1: Introduction to Git and GitHub	Git and GitHub Basics	Describe a GitHub repository
Domain 1: Introduction to Git and GitHub	Git and GitHub Basics	Describe a commit
Domain 1: Introduction to Git and GitHub	Git and GitHub Basics	Describe branching
Domain 1: Introduction to Git and GitHub	Git and GitHub Basics	Define a remote in Git terminology

	import fitz # PyMuPDF is also known as fitz

	# List of PDFs to merge
	pdf_files = ['file1.pdf', 'file2.pdf', 'file3.pdf']

	# Create a new empty PDF
	output_pdf = fitz.open()

	# Loop through each file and insert pages
	for file in pdf_files:

	import requests
	import csv

	# API endpoint with relevant fields
	api_url = (
	"https://in.openfoodfacts.org/facets/categories/paneer?"
	"fields=code,brands,quantity,product_name,energy-kcal_100g,carbohydrates_100g,"
	"fat_100g,calcium_100g,cholesterol_100g,saturated-fat_100g,proteins_100g,"
	"salt_100g,sugars_100g,fiber_100g,nutriscore_grade,nova_group&json=1"
	)

	<!DOCTYPE html>
	<html lang="en">
	<head>
	<meta charset="UTF-8">
	<title>Things Near Me</title>
	<meta http-equiv="X-UA-Compatible" content="IE=edge,chrome=1">
	<meta name="viewport" content="width=device-width, initial-scale=1, maximum-scale=1">
	<link rel="stylesheet" href="https://unpkg.com/[email protected]/dist/leaflet.css" />
	<style>
	/* General Styles */

	<!DOCTYPE html>
	<html lang="en">
	<head>
	<meta charset="UTF-8">
	<meta name="viewport" content="width=device-width, initial-scale=1.0">
	<title>IndexedDB Example</title>
	</head>
	<body>
	<h1>IndexedDB Example</h1>
	<form id="dataForm">

	<!DOCTYPE html>
	<html lang="en">
	<head>
	<meta charset="UTF-8">
	<meta name="viewport" content="width=device-width, initial-scale=1.0">
	<title>Weather NOW</title>
	<style>
	body {
	margin: 0;
	padding: 20px;

	import pandas as pd
	import matplotlib.pyplot as plt
	from matplotlib.ticker import MaxNLocator

	# Load the Excel file into a DataFrame
	excel_file = r'C:\scores\scores.xlsx' # Replace with your Excel file path
	sheet_name = 'Sheet1' # Replace with your sheet name if necessary
	df = pd.read_excel(excel_file, sheet_name=sheet_name)

	# Debug: Print column names

	//bookmarklet by redditor @chickenandliver - https://www.reddit.com/r/bookmarklets/comments/1f7wk72/search_a_users_x_timeline_for_term/
	javascript:(function(){
	const term = prompt('Term?');
	if (term) {
	const username = new URL(location.href).pathname.split("/")[1];
	window.location.href = `https://x.com/search?q=${encodeURIComponent(term)}%20(from%3A${encodeURIComponent(username)})&src=typed_query&f=live`;
	}
	})();

	//Minified version -