Aman Bhargava thedivtagguy

	X	Y
	8.4615	91.9744
	7.4359	87.7436
	6.4103	82.7436
	5.1282	78.8974
	4.359	74.6667
	9.7436	89.6667
	10.5128	86.9744
	11.7949	82.7436
	12.8205	78.8974

It isn't just about ______, it's about ______.
Describing a sentence with one, two, and three adjectives in this comma-separated format. For example: it's about resilience, adaptability, and an unwavering commitment to....
Heading Case Bulleted Lists That:
- Describe Something: with a short explanation.
- Talk About It Again: just in case you missed the first one.
- Third Time's The Charm: well it just is, isn't it?.
"Every stroke/word/[object]/[random detail] tells a story".
"Weaves a tale/story".
"Let's explore/dive into/delve into" paragraph intro.
"Whether you're X, Y, or Z" format for inclusivity.

Activity	Rural Male	Rural Female	Rural Person	Urban Male	Urban Female	Urban Person	All-India Male	All-India Female	All-India Person
Employment and related activities	16.9	4.2	10.6	21.3	4.3	13.1	18.3	4.2	11.4
Production of goods for own final use	2.7	2.2	2.4	0.3	0.3	0.3	1.9	1.6	1.8
Unpaid domestic services for household members	1.9	17.2	9.4	1.5	16.1	8.6	1.7	16.9	9.2
Unpaid caregiving services for household members	0.8	2.6	1.7	0.7	2.5	1.6	0.8	2.6	1.7
Unpaid volunteer trainee and other unpaid work	0.2	0.1	0.1	0.2	0.1	0.1	0.2	0.1	0.1
Learning	7.1	5.7	6.4	7.0	6.1	6.6	7.1	5.8	6.5
Socializing communication community participation and religious practice	9.6	8.8	9.2	8.7	8.8	8.8	9.3	8.8	9.0
Culture leisure mass-media and sports practices	9.7	9.0	9.4	10.9	11.7	11.3	10.1	9.8	9.9
Self-care and maintenance	51.2	50.3	50.8	49.4	50.0	49.7	50.6	50.2	50.4

Python script to scrape movie/series data from Movie of the Night API. I don't know if this gets EVERYTHING but it will make the best effort to. We're not using the official API but scraping movies that are loaded in the catalog pages on the web UI, so this won't contain all metadata that you might normally get. To get metadata, try joining this with TMDB data.

Usage

python scraper.py

	import pandas as pd
	import geopandas as gpd
	from shapely.geometry import shape, box
	import json
	import inquirer
	import argparse
	from typing import Optional, Tuple, Dict
	import sys
	import webbrowser
	import re

	// ==UserScript==
	// @name Google Search UDM Parameter with Override
	// @namespace http://tampermonkey.net/
	// @version 1.1
	// @description Automatically adds &udm=14 to Google searches with override options
	// @author Your name
	// @match ://www.google.com/
	// @match ://google.com/
	// @grant none
	// @run-at document-start

	---
	title: "WhatsApp Group Chat Analysis"
	output:
	pdf_document: default
	---

	Hello folks, glad you could make it.
	This is the entire code (well, almost entire) used to create a visual essay on group
	WhatsApp chats. You can use bits of this to analyze any chat you want.

	{
	"workbench.colorTheme": "Solarized Light",
	"workbench.iconTheme": "vscode-icons-team.vscode-icons",
	"workbench.startupEditor": "none",
	"explorer.compactFolders": false,
	"editor.fontFamily": "'Cascadia Code', 'Fira Code', 'JetBrains Mono', Consolas, 'Courier New', monospace",
	"editor.fontLigatures": true,
	"editor.fontSize": 14,
	"editor.wordWrap": "on",
	"editor.formatOnSave": true,

	{
	"title": "Welcome to Our Website",
	"description": "This is some content on our website that we want to translate into multiple languages.",
	"contact": "Contact Us",
	"footer": "Thank you for visiting our website!"
	}

	---
	const username = import.meta.env.LASTFM_USERNAME;
	const apiKey = import.meta.env.LASTFM_API_KEY;

	const response = await fetch(
	`http://ws.audioscrobbler.com/2.0/?method=user.getrecenttracks&user=${username}&api_key=${apiKey}&format=json&limit=1`
	);

	const data = await response.json();
	const track = data?.recenttracks?.track?.[0];

Aman Bhargava thedivtagguy

Usage

Configuration