In today’s fast-paced world, automating repetitive tasks can save you a significant amount of time and effort. Python, with its simplicity and versatility, is an excellent tool for automation. Whether you’re a seasoned developer or a beginner, these seven Python scripts can help streamline your daily activities and enhance productivity.

1. Email Automation

Managing emails can be time-consuming, but with Python, you can automate sending, receiving, and organizing your emails. Using the smtplib and imaplib libraries, you can create scripts to handle various email tasks.

import smtplib
from email.mime.text import MIMEText

def send_email(subject, body, to_email):
    from_email = 'your_email@example.com'
    password = 'your_password'
    
    msg = MIMEText(body)
    msg['Subject'] = subject
    msg['From'] = from_email
    msg['To'] = to_email
    
    with smtplib.SMTP_SSL('smtp.gmail.com', 465) as server:
        server.login(from_email, password)
        server.sendmail(from_email, to_email, msg.as_string())

send_email('Test Subject', 'This is a test email', 'recipient@example.com')

2. Web Scraping

Gathering data from websites manually can be tedious. With libraries like BeautifulSoup and requests, you can automate the process of extracting information from web pages.

import requests
from bs4 import BeautifulSoup

def scrape_weather():
    url = 'https://www.weather.com/weather/today'
    response = requests.get(url)
    soup = BeautifulSoup(response.text, 'html.parser')
    
    weather = soup.find('div', class_='CurrentConditions--tempValue--3KcTQ').text
    return weather

print(f"The current temperature is {scrape_weather()}")

3. File Organization

Keeping your files organized is essential but often neglected. Python can help you automate file management tasks, such as moving files to specific directories based on their types.

import os
import shutil

def organize_files(directory):
    for filename in os.listdir(directory):
        if filename.endswith('.txt'):
            shutil.move(os.path.join(directory, filename), os.path.join(directory, 'TextFiles', filename))
        elif filename.endswith('.jpg'):
            shutil.move(os.path.join(directory, filename), os.path.join(directory, 'Images', filename))

organize_files('/path/to/your/directory')

4. Data Analysis

Automate data analysis with Python using libraries like pandas and numpy. You can process large datasets, perform calculations, and generate reports quickly.

import pandas as pd

def analyze_data(file_path):
    data = pd.read_csv(file_path)
    summary = data.describe()
    return summary

print(analyze_data('data.csv'))

5. Task Scheduling

Automate your daily tasks by scheduling scripts to run at specific times using the schedule library. This can help you manage repetitive tasks efficiently.

import schedule
import time

def job():
    print("Task is running...")

schedule.every().day.at("10:30").do(job)

while True:
    schedule.run_pending()
    time. Sleep(1)

6. Social Media Automation

Manage your social media accounts with Python. Using the tweepy library, you can automate posting tweets, following users, and more.

import tweepy

def tweet(message):
    consumer_key = 'your_consumer_key'
    consumer_secret = 'your_consumer_secret'
    access_token = 'your_access_token'
    access_token_secret = 'your_access_token_secret'
    
    auth = tweepy.OAuthHandler(consumer_key, consumer_secret)
    auth.set_access_token(access_token, access_token_secret)
    api = tweepy.API(auth)
    
    api.update_status(message)

tweet('Hello, world!')

7. Automating Reports

Generate and send reports automatically using Python. Combine data analysis with email automation to send daily, weekly, or monthly reports.

import smtplib
from email.mime.multipart import MIMEMultipart
from email.mime.text import MIMEText

def send_report():
    from_email = 'your_email@example.com'
    to_email = 'recipient@example.com'
    password = 'your_password'
    
    msg = MIMEMultipart()
    msg['From'] = from_email
    msg['To'] = to_email
    msg['Subject'] = 'Monthly Report'
    
    body = 'Please find the attached report.'
    msg.attach(MIMEText(body, 'plain'))
    
    # Attach the report (assuming it's a CSV file)
    attachment = open('report.csv', 'rb')
    part = MIMEText(attachment.read(), 'base64', 'utf-8')
    part.add_header('Content-Disposition', 'attachment; filename="report.csv"')
    msg.attach(part)
    
    with smtplib.SMTP_SSL('smtp.gmail.com', 465) as server:
        server.login(from_email, password)
        server.sendmail(from_email, to_email, msg.as_string())

send_report()

Conclusion

Automation can significantly enhance your productivity by handling repetitive and time-consuming tasks. These seven Python scripts are just the tip of the iceberg. With Python, the possibilities for automation are endless, allowing you to focus on more critical aspects of your work and life. Start automating today and experience the benefits of a more streamlined and efficient routine!

PrashantMishra