meta-ks

Google dork cheatsheet

Search filters

Filter	Description	Example
allintext	Searches for occurrences of all the keywords given.	allintext:"keyword"
intext	Searches for the occurrences of keywords all at once or one at a time.	intext:"keyword"
inurl	Searches for a URL matching one of the keywords.	inurl:"keyword"
allinurl	Searches for a URL matching all the keywords in the query.	allinurl:"keyword"
intitle	Searches for occurrences of keywords in title all or one.	intitle:"keyword"

meta-ks

https://www.nseindia.com/corporates/datafiles/AN_NAV_LATEST_ANNOUNCED.csv
https://www.nseindia.com/corporates/datafiles/BM_All_Forthcoming.csv
https://www.nseindia.com/corporates/datafiles/CA_TODAY_SPLIT.csv
https://www.nseindia.com/corporates/datafiles/CA_TODAY_BONUS.csv
http://www.nseindia.com/corporates/datafiles/CA_LAST_1_MONTH_BONUS.csv
https://www.nseindia.com/corporates/datafiles/CA_LAST_1_WEEK_SPLIT.csv
https://www.nseindia.com/corporates/datafiles/CA_LAST_1_WEEK_BONUS.csv
https://www.nseindia.com/corporates/datafiles/CA_MORE_THAN_24_MONTHS_SPLIT.csv
https://www.nseindia.com/corporates/datafiles/CA_MORE_THAN_24_MONTHS_BONUS.csv
http://www.nseindia.com/corporates/datafiles/CA_LAST_1_MONTH_RIGHTS.csv

meta-ks

def interpolate_timestamps(df, col):
    # Convert the timestamp column to numeric values (in us since Unix epoch)
    numeric_ts = pd.to_numeric(df[col])

    # Replace any numeric values that are less than 0 with NaN
    # This step is crucial because pd.to_numeric() can convert NaT (Not-a-Time) values
    # to large negative numbers. By replacing these with NaN, we ensure they are
    # correctly identified as missing values for interpolation.
    numeric_ts[numeric_ts < 0] = np.nan

meta-ks

import threading
import os
import signal
import time


"""
This script demonstrates the adjustment of thread priorities and handling Ctrl+C to gracefully stop threads.

Thread Priority Mechanism:

meta-ks

// Function to adjust the volume of a video element
function adjustVideoVolume(videoElement, volume) {
  // Create an audio context
  const audioCtx = new (window.AudioContext || window.webkitAudioContext)();
  
  // Create a media element source from the video element
  const source = audioCtx.createMediaElementSource(videoElement);
  
  // Create a gain node to control the volume
  const gainNode = audioCtx.createGain();

meta-ks

from enum import Enum


#Inspired by: https://bobbyhadz.com/blog/python-compare-string-with-enum
# and https://stackoverflow.com/questions/76236985/how-to-compare-string-enums-in-python

class OrderedStrEnum(str, Enum):
    def __ge__(self, other):
        if self.__class__ is other.__class__:
            return self._index() >= other._index()

meta-ks

import os
import time
import io
import requests


nse_urls = {
                'N50':'',
                'N100':'',
                'N200':'',

meta-ks

import logging


# Create a custom logger class
class FileLogger(logging.Logger):
    def __init__(self, name, filename, mode='a', level=logging.INFO, fformatter=None, log_to_console=False, sformatter=None):
        super().__init__(name, level)

        # Create a custom file handler
        self.file_handler = logging.FileHandler(filename=filename, mode=mode)

meta-ks

#include <iostream>
#include <chrono>
#include <random>

#define DOUBLE_PRECISION 10000
#define LAMBDA 5

using namespace std;

struct packet {

meta-ks

#!/usr/bin/env python

import subprocess
import sys

# pip install flickrapi
# project home: http://stuvel.eu/flickrapi
import flickrapi

api_key = '00000000000000000000000000000000' # obtain your api key at http://www.flickr.com/services