Section 1.1: Email Automation

Manually sending emails can be quite monotonous. This script streamlines the process, allowing for easy dispatch of emails with attachments.

import smtplib

from email.mime.multipart import MIMEMultipart

from email.mime.text import MIMEText

from email.mime.base import MIMEBase

from email import encoders

def send_email(subject, body, to, attachment_path):

from_email = "[email protected]"

password = "yourpassword"

msg = MIMEMultipart()

msg['From'] = from_email

msg['To'] = to

msg['Subject'] = subject

msg.attach(MIMEText(body, 'plain'))

attachment = open(attachment_path, "rb")

part = MIMEBase('application', 'octet-stream')

part.set_payload((attachment).read())

encoders.encode_base64(part)

part.add_header('Content-Disposition', f"attachment; filename= {attachment_path}")

msg.attach(part)

server = smtplib.SMTP('smtp.gmail.com', 587)

server.starttls()

server.login(from_email, password)

text = msg.as_string()

server.sendmail(from_email, to, text)

server.quit()

# Example usage

send_email("Subject", "Body", "[email protected]", "path/to/attachment.txt")

Why it's useful: This automation reduces manual effort and guarantees timely communication.

Section 1.2: Web Scraping

Gathering information from websites can be simplified with web scraping. The following script extracts headlines from a news site.

import requests

from bs4 import BeautifulSoup

def scrape_headlines(url):

response = requests.get(url)

soup = BeautifulSoup(response.text, 'html.parser')

headlines = [headline.text for headline in soup.find_all('h2')]

return headlines

# Example usage

print(news_headlines)

Why it's useful: This process automates data collection, saving both time and effort.

Section 1.3: Data Backup

Regularly backing up essential files is critical. This script automates the backup process.

import shutil

import os

from datetime import datetime

def backup_files(source_folder, destination_folder):

date = datetime.now().strftime("%Y-%m-%d")

backup_folder = os.path.join(destination_folder, f"backup_{date}")

shutil.copytree(source_folder, backup_folder)

# Example usage

backup_files("/path/to/source", "/path/to/destination")

Why it's useful: It guarantees consistent and reliable backups without needing manual oversight.

Section 2.1: Automating Report Generation

Generating reports can also be automated with Python, facilitating regular creation and distribution.

import pandas as pd

def generate_report(data, output_file):

df = pd.DataFrame(data)

df.to_csv(output_file, index=False)

# Example usage

data = {"Name": ["Alice", "Bob"], "Score": [90, 85]}

generate_report(data, "report.csv")

Why it's useful: This saves time and allows for quick and efficient data presentation.

Section 2.2: Social Media Automation

Automating social media updates can save a significant amount of time. Below is a script for scheduling tweets.

import tweepy

import schedule

import time

def post_tweet(api, message):

api.update_status(message)

def schedule_tweet(api, message, time_to_post):

schedule.every().day.at(time_to_post).do(post_tweet, api, message)

while True:

schedule.run_pending()

time.sleep(1)

# Example usage

auth = tweepy.OAuthHandler("consumer_key", "consumer_secret")

auth.set_access_token("access_token", "access_token_secret")

api = tweepy.API(auth)

schedule_tweet(api, "Hello, Twitter!", "14:00")

Why it's useful: This ensures a steady social media presence without the need for constant manual updates.