15 Python Scripts That Simplify Everyday Tasks — By ToolzamAI

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In today’s fast-paced world, automation is the key to efficiency. Python, with its versatility and simplicity, offers scripts that can transform mundane daily tasks into effortless operations. In this article, we explore 15 futuristic Python scripts that can simplify your life. If you’re intrigued by robotics and AI tools, visit ToolzamAI — a hub featuring 500+ AI tools and insights on emerging robots worldwide.

1. Automated Email Sender

Task: Send daily emails without opening your inbox .

import smtplib
from email.message import EmailMessage

def send_email(subject, body, to_email):
    msg = EmailMessage()
    msg.set_content(body)
    msg['Subject'] = subject
    msg['From'] = 'your_email@example.com'
    msg['To'] = to_email

    with smtplib.SMTP_SSL('smtp.gmail.com', 465) as smtp:
        smtp.login('your_email@example.com', 'your_password')
        smtp.send_message(msg)

send_email("Daily Update", "Here's your update!", "receiver@example.com")

2. Voice Assistant

Task: Get reminders, weather updates, or control smart devices via voice commands.

import pyttsx3
import speech_recognition as sr

def voice_assistant():
    recognizer = sr.Recognizer()
    engine = pyttsx3.init()

    try:
        with sr.Microphone() as source:
            print("Listening...")
            audio = recognizer.listen(source)
            command = recognizer.recognize_google(audio)
            engine.say(f"You said: {command}")
            engine.runAndWait()
    except Exception as e:
        print("Error:", e)

voice_assistant()

3. Smart Expense Tracker

Task: Track your daily expenses with a simple CSV log.

import csv

def log_expense(amount, category):
    with open('expenses.csv', mode='a', newline='') as file:
        writer = csv.writer(file)
        writer.writerow([amount, category])

log_expense(50, 'Groceries')

4. Automated Data Backup

Task: Schedule backups of critical files to cloud or local storage.

import shutil
from datetime import datetime

def backup_file(file_path, backup_dir):
    timestamp = datetime.now().strftime('%Y%m%d_%H%M%S')
    shutil.copy(file_path, f"{backup_dir}/{timestamp}_backup.txt")

backup_file('data.txt', 'backups')

5. AI Photo Enhancer

Task: Automatically enhance your photos with Python.

from PIL import Image, ImageEnhance

def enhance_photo(image_path, output_path):
    image = Image.open(image_path)
    enhancer = ImageEnhance.Sharpness(image)
    enhanced_image = enhancer.enhance(2.0)
    enhanced_image.save(output_path)

enhance_photo('input.jpg', 'enhanced.jpg')

6. Password Generator

Task: Generate secure, random passwords.

import random
import string

def generate_password(length=12):
    characters = string.ascii_letters + string.digits + string.punctuation
    return ''.join(random.choice(characters) for _ in range(length))

print(generate_password())

7. News Aggregator

Task: Fetch and display the latest news headlines.

import requests

def get_news():
    response = requests.get('https://newsapi.org/v2/top-headlines?country=us&apiKey=your_api_key')
    for article in response.json().get('articles', []):
        print(article['title'])

get_news()

8. Health Reminder

Task: Remind yourself to drink water or take breaks.

import time
from plyer import notification

def health_reminder():
    while True:
        notification.notify(title="Health Reminder", message="Time to drink water!", timeout=10)
        time.sleep(3600)

health_reminder()

9. Online Shopping Price Tracker

Task: Monitor price drops on your favorite items.

import requests
from bs4 import BeautifulSoup

def track_price(url):
    headers = {"User-Agent": "Your User Agent"}
    response = requests.get(url, headers=headers)
    soup = BeautifulSoup(response.text, 'html.parser')
    price = soup.find('span', {'class': 'price'}).text
    print(f"Current Price: {price}")

track_price("https://example.com/product")

10. Real-Time Weather App

Task: Fetch live weather updates for your location.

import requests

def get_weather(city):
    api_key = 'your_api_key'
    url = f"http://api.openweathermap.org/data/2.5/weather?q={city}&appid={api_key}"
    response = requests.get(url)
    data = response.json()
    print(f"Weather in {city}: {data['weather'][0]['description']}")

get_weather("New York")

11. Smart Grocery List Generator

Task: Create weekly grocery lists based on recipes.

def generate_grocery_list(recipes):
    ingredients = set()
    for recipe in recipes:
        ingredients.update(recipe)
    return list(ingredients)

print(generate_grocery_list([{"eggs", "milk"}, {"bread", "butter"}]))

12. Task Scheduler

Task: Schedule reminders or tasks throughout the day.

import schedule
import time

def task():
    print("Time to complete your task!")

schedule.every().day.at("09:00").do(task)

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

13. Habit Tracker

Task: Keep track of daily habits.

def habit_tracker(habit, days):
    progress = {day: False for day in range(1, days + 1)}
    return progress

print(habit_tracker("Exercise", 30))

14. File Organizer

Task: Automatically sort and organize files in a directory.

import os
import shutil

def organize_files(directory):
    for file in os.listdir(directory):
        ext = file.split('.')[-1]
        folder = f"{directory}/{ext}"
        os.makedirs(folder, exist_ok=True)
        shutil.move(f"{directory}/{file}", folder)

organize_files('downloads')

15. Personal Budget Analyzer

Task: Analyze and visualize your monthly budget.

import matplotlib.pyplot as plt

def analyze_budget(expenses):
    labels, values = zip(*expenses.items())
    plt.pie(values, labels=labels, autopct='%1.1f%%')
    plt.title('Monthly Budget Distribution')
    plt.show()

analyze_budget({'Rent': 1000, 'Food': 500, 'Transport': 200})

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