"Rk" - Radhakrishna MV mvark

## WeatherUnionAPIsample.html
<!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;

## WeatherUnionInfra.csv

          
            cityName
            localityName
            localityId
            latitude
            longitude
            device_type

            
              Ahmedabad
              Paldi
              ZWL003133
              22.994998
              72.557474
              2 - Rain gauge system

            
              Ahmedabad
              Shahibag
              ZWL002302
              23.058607
              72.592212
              2 - Rain gauge system

            
              Ahmedabad
              Navrangpura
              ZWL003747
              23.038426
              72.558241
              2 - Rain gauge system

            
              Ahmedabad
              Chandkheda
              ZWL002503
              23.117204
              72.607123
              2 - Rain gauge system

            
              Ahmedabad
              Science-City Sola
              ZWL005979
              23.087361
              72.510289
              2 - Rain gauge system

            
              Ahmedabad
              Sector 16, Gandhinagar
              ZWL005987
              23.216612
              72.652543
              2 - Rain gauge system

            
              Ahmedabad
              Vastrapur
              ZWL001959
              23.042513
              72.524312
              2 - Rain gauge system

            
              Ahmedabad
              Prahlad Nagar
              ZWL007404
              22.998074
              72.515955
              2 - Rain gauge system

            
              Ahmedabad
              Nikol
              ZWL001898
              23.077071
              72.637566
              2 - Rain gauge system

## ClassPerfChart.py
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

## Xterm.js
//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 -

## rattibha.js
javascript:(function() {
  var url = window.location.href;
  var match = url.match(/\/status\/(\d+)/);
  if (match && match[1]) {
    var newUrl = "https://en.rattibha.com/thread/" + match[1];
    window.location.href = newUrl;
  } else {
    alert("No matching thread ID found in the URL.");
  }
})();

## JSON2CSV.py
import json
import pandas as pd

# Load JSON data, specify the file name with JSON content
with open(r'C:\OFF\raw.json') as f:
    data = json.load(f)

# Convert to DataFrame
df = pd.json_normalize(data['products'])

## RenamedPlaces.csv

          
            Old Name
            New Name
            Wikipedia

            
              Allahabad or Ilahabad
              Prayagraj
              https://en.wikipedia.org/wiki/Prayagraj

            
              Bangalore
              Bengaluru
              https://en.wikipedia.org/wiki/Bangalore

            
              Bombay
              Mumbai
              https://en.wikipedia.org/wiki/Mumbai

            
              Calcutta
              Kolkota
              https://en.wikipedia.org/wiki/Kolkata

            
              Cape Comorin
              Kanyakumari or Kanniyakumari
              https://en.wikipedia.org/wiki/Kanyakumari

            
              Cawnpore
              Kanpur
              https://en.wikipedia.org/wiki/Kanpur

            
              Chicacole
               Srikakulam
              https://en.wikipedia.org/wiki/Srikakulam

            
              Cochin
              Kochi
              https://en.wikipedia.org/wiki/Kozhikode

            
              Conjeveram
              Kanchipuram
              https://en.wikipedia.org/wiki/Kanchipuram

## ai21-starter.py
"""
AI21 API Example: Get an answer to a question
"""

from ai21 import AI21Client
from ai21.models.chat import ChatMessage
import os

# Import necessary modules to work with the AI21 API
# AI21Client: Used to interact with the AI21 service

## TableColumnDeletion.js
// Select all table rows
const rows = document.querySelectorAll('table tr');

// Iterate through each row
rows.forEach(row => {
  // Remove the last cell twice
  row.removeChild(row.lastElementChild);
  row.removeChild(row.lastElementChild);
});

## vitamins.csv

          
            Foods
             Vitamin B1 (Thiamine) (µg)
            Vitamin B2 (Riboflavin) (µg)
            Vitamin B3 (Niacin) (µg)
            Vitamin B6 (Pyridoxine) (µg)
            Vitamin B9, Total folates (µg)
            Vitamin C (mg)
            Vitamin A (Retinol) (µg)
             Vitamin D (D2) (µg)

            
              Cereals
              238.46
              84.6
              2138.5
              162.31
              15.86
              0
              2.01
              6.88

            
              Millets
              355.56
              155.6
              2177.8
              113.33
              24.17
              0
              1.02
              6.1

            
              Pulses
              400
              158.8
              2123.5
              215.53
              157.06
              0
              8.32
              8.69

            
              GLVS
              60
              127.7
              624.6
              97.49
              31.6
              45.6
              397.9
              3.4

            
              Roots & tubers
              31.58
              10.5
              405.3
              97.47
              21.48
              12.1
              39.85
              0.55

            
              Vegetables
              41.3
              43.5
              365.2
              97.48
              28.53
              23.6
              18.4
              2.38

            
              Nuts
              390
              140
              3210
              311.4
              47.58
              0.4
              1.26
              9.06

            
              Fruits
              34.78
              21.7
              369.6
              65.04
              11.41
              36.7
              35.48
              3.62

            
              Meat & poultry
              81.82
              109.1
              2772.7
              220
              5.59
              0
              1.93
              0
	<!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;
cityName	localityName	localityId	latitude	longitude	device_type
Ahmedabad	Paldi	ZWL003133	22.994998	72.557474	2 - Rain gauge system
Ahmedabad	Shahibag	ZWL002302	23.058607	72.592212	2 - Rain gauge system
Ahmedabad	Navrangpura	ZWL003747	23.038426	72.558241	2 - Rain gauge system
Ahmedabad	Chandkheda	ZWL002503	23.117204	72.607123	2 - Rain gauge system
Ahmedabad	Science-City Sola	ZWL005979	23.087361	72.510289	2 - Rain gauge system
Ahmedabad	Sector 16, Gandhinagar	ZWL005987	23.216612	72.652543	2 - Rain gauge system
Ahmedabad	Vastrapur	ZWL001959	23.042513	72.524312	2 - Rain gauge system
Ahmedabad	Prahlad Nagar	ZWL007404	22.998074	72.515955	2 - Rain gauge system
Ahmedabad	Nikol	ZWL001898	23.077071	72.637566	2 - Rain gauge system
	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 -
	javascript:(function() {
	var url = window.location.href;
	var match = url.match(/\/status\/(\d+)/);
	if (match && match[1]) {
	var newUrl = "https://en.rattibha.com/thread/" + match[1];
	window.location.href = newUrl;
	} else {
	alert("No matching thread ID found in the URL.");
	}
	})();
	import json
	import pandas as pd

	# Load JSON data, specify the file name with JSON content
	with open(r'C:\OFF\raw.json') as f:
	data = json.load(f)

	# Convert to DataFrame
	df = pd.json_normalize(data['products'])
Old Name	New Name	Wikipedia
Allahabad or Ilahabad	Prayagraj	https://en.wikipedia.org/wiki/Prayagraj
Bangalore	Bengaluru	https://en.wikipedia.org/wiki/Bangalore
Bombay	Mumbai	https://en.wikipedia.org/wiki/Mumbai
Calcutta	Kolkota	https://en.wikipedia.org/wiki/Kolkata
Cape Comorin	Kanyakumari or Kanniyakumari	https://en.wikipedia.org/wiki/Kanyakumari
Cawnpore	Kanpur	https://en.wikipedia.org/wiki/Kanpur
Chicacole	Srikakulam	https://en.wikipedia.org/wiki/Srikakulam
Cochin	Kochi	https://en.wikipedia.org/wiki/Kozhikode
Conjeveram	Kanchipuram	https://en.wikipedia.org/wiki/Kanchipuram
	"""
	AI21 API Example: Get an answer to a question
	"""

	from ai21 import AI21Client
	from ai21.models.chat import ChatMessage
	import os

	# Import necessary modules to work with the AI21 API
	# AI21Client: Used to interact with the AI21 service
	// Select all table rows
	const rows = document.querySelectorAll('table tr');

	// Iterate through each row
	rows.forEach(row => {
	// Remove the last cell twice
	row.removeChild(row.lastElementChild);
	row.removeChild(row.lastElementChild);
	});
Foods	Vitamin B1 (Thiamine) (µg)	Vitamin B2 (Riboflavin) (µg)	Vitamin B3 (Niacin) (µg)	Vitamin B6 (Pyridoxine) (µg)	Vitamin B9, Total folates (µg)	Vitamin C (mg)	Vitamin A (Retinol) (µg)	Vitamin D (D2) (µg)
Cereals	238.46	84.6	2138.5	162.31	15.86	0	2.01	6.88
Millets	355.56	155.6	2177.8	113.33	24.17	0	1.02	6.1
Pulses	400	158.8	2123.5	215.53	157.06	0	8.32	8.69
GLVS	60	127.7	624.6	97.49	31.6	45.6	397.9	3.4
Roots & tubers	31.58	10.5	405.3	97.47	21.48	12.1	39.85	0.55
Vegetables	41.3	43.5	365.2	97.48	28.53	23.6	18.4	2.38
Nuts	390	140	3210	311.4	47.58	0.4	1.26	9.06
Fruits	34.78	21.7	369.6	65.04	11.41	36.7	35.48	3.62
Meat & poultry	81.82	109.1	2772.7	220	5.59	0	1.93	0