| /* Step 1*/ | |
| myInterval = setInterval(function(){ | |
| window.scrollTo(0, document.body.scrollHeight); | |
| },10000) | |
| /* Step 2*/ |
| import cv2 | |
| # Replace the following with your camera's IP address and RTSP stream URL | |
| user = 'ACCOUNT_PASSWORD_USER' | |
| password = "ACCOUNT_PASSWORD" | |
| RTSP_URL = f'rtsp://{user}:{password}@192.168.0.15:554/stream1' # High Quality | |
| # RTSP_URL = f'rtsp://{user}:{password}@192.168.0.15:554/stream2' # Low Quality | |
| # Create a VideoCapture object |
| from pytapo import Tapo | |
| from pytapo.media_stream.downloader import Downloader | |
| import asyncio | |
| import os | |
| #sudo apt install ffmpeg | |
| #python3 -m pip install pytapo | |
| #https://github.com/JurajNyiri/pytapo |
| import os, uuid | |
| from io import BytesIO | |
| from datetime import datetime | |
| from urllib.parse import urlparse | |
| from azure.storage.blob import BlobServiceClient | |
| import pandas as pd | |
| def azure_upload_df(container=None, dataframe=None, filename=None): | |
| """ | |
| Upload DataFrame to Azure Blob Storage for given container |
1. sudo docker compose up airflow-init
2. sudo docker compose up
3. sudo docker exec -it $(sudo docker compose ps -q airflow-webserver) bash
default_timezone = Asia/Kolkata
load_examples = False
default_ui_timezone = Asia/Kolkata
parsing_cleanup_interval = 30
| # /lib/systemd/system/airflow-scheduler.service | |
| [Unit] | |
| Description=Airflow scheduler daemon | |
| After=network.target postgresql.service mysql.service redis.service rabbitmq-server.service | |
| Wants=postgresql.service mysql.service redis.service rabbitmq-server.service | |
| [Service] | |
| Environment="PATH=$PATH:/home/aarav/anaconda3/envs/airflow/bin" | |
| User=aarav |
| !pip install python-whois | |
| import whois | |
| final_list = set() | |
| def check_domain(name): | |
| try: | |
| data = whois.whois(name) |
| // ==UserScript== | |
| // @name Filter Amazon | |
| // @namespace http://tampermonkey.net/ | |
| // @version 0.1 | |
| // @description try to take over the world! | |
| // @author You | |
| // @match https://www.amazon.in/gp/bestsellers/* | |
| // @icon https://www.google.com/s2/favicons?sz=64&domain=amazon.in | |
| // @grant none | |
| // ==/UserScript== |
| ''' | |
| Reuire More than 12 GB ram to process all the request.. | |
| !pip install nest-asyncio | |
| ''' | |
| import asyncio | |
| from aiohttp import ClientSession | |
| import nest_asyncio | |
| nest_asyncio.apply() |
| # Remove string data from nested list and also print index before printing | |
| lst=[ | |
| [1,2,3], | |
| [11,12,'a','b','C','D', 4], | |
| [21,'t',23], | |
| [4,5,6,['raja','baja', 'saja', 4444]], | |
| [7,87,9], | |
| 'demo', | |
| 12.5 |