import requests  # openweathermap api configuration api_key = 'your_api_key' city = 'new york' url = f'http://api.openweathermap.org/data/2.5/weather?q={city}&appid={api_key}'  # send a get request to fetch weather data response = requests.get(url) data = response.json()  # extract temperature information temperature = data['main']['temp'] weather = data['weather'][0]['description']  print(f"temperature: {temperature}°k") print(f"weather: {weather}") 

import schedule import time  # task function to be executed def task():     print("executing scheduled task...")  # schedule the task to run every day at 9 am schedule.every().day.at("09:00").do(task)  # keep the script running to check the schedule while true:     schedule.run_pending()     time.sleep(1) 

import sqlite3  # connect to sqlite database conn = sqlite3.connect('tasks.db')  # create a cursor object to execute sql commands cur = conn.cursor()  # create a table for storing tasks cur.execute('''create table if not exists tasks (id integer primary key, task_name text, status text)''')  # insert a new task cur.execute("insert into tasks (task_name, status) values ('complete automation script', 'pending')")  # commit changes and close the connection conn.commit() conn.close() 

import pandas as pd  # read excel file df = pd.read_excel('data.xlsx')  # perform some operation on the data df['total'] = df['price'] * df['quantity']  # write the modified data back to a new excel file df.to_excel('updated_data.xlsx', index=false) 

from selenium import webdriver from selenium.webdriver.common.keys import keys  # set up the browser driver driver = webdriver.chrome()  # open the login page driver.get('https://example.com/login')  # locate the username and password fields, fill them in, and log in username = driver.find_element_by_name('username') password = driver.find_element_by_name('password') username.send_keys('your_username') password.send_keys('your_password') password.send_keys(keys.return)  # close the browser driver.quit() 

import boto3  # connect to s3 s3 = boto3.client('s3')  # list all buckets buckets = s3.list_buckets() for bucket in buckets['buckets']:     print(bucket['name'])  # create a new bucket s3.create_bucket(bucket='my-new-bucket')  # upload a file to the bucket s3.upload_file('file.txt', 'my-new-bucket', 'file.txt') 

import PyPDF2  # List of PDF files to merge pdfs = ['file1.pdf', 'file2.pdf', 'file3.pdf']  # Create a PDF merger object merger = PyPDF2.PdfMerger()  # Loop through the PDFs and append them to the merger for pdf in pdfs:     merger.append(pdf)  # Write the merged PDF to a new file with open('merged_file.pdf', 'wb') as f:     merger.write(f)