Best Python Automation Project with Source Code is a practical way to learn automation while building real-world skills. In this guide, we will explore powerful automation examples that help save time, reduce manual work, and improve productivity.
introduction
Python is a powerful and flexible programming language that is widely used for automation. With Python, you can automate repetitive tasks, save time, increase productivity, and reduce the chances of human mistakes. Now, let’s explore the fundamentals, the tools you need, and look at a simple example of a Python automation project to understand how it works.
requirements
To begin automating tasks with Python, you’ll need:
Install Python: Make sure the latest version of Python is properly installed on your computer before getting started.Basic
Python Skills: You should have a good understanding of Python fundamentals. Knowing how modules and libraries work will be even more helpful.
External Libraries: Based on the type of automation you plan to build, you may need to install and use specific third-party libraries.
Python automation project with source code
- Web Scraping
from bs4 import BeautifulSoup
import requests
url = 'https://www.python.org/'
reqs = requests.get(url)
soup = BeautifulSoup(reqs.text, 'html.parser')
for link in soup.find_all('a'):
print(link.get('href'))
In this Python automation project, we’ll create a script that extracts all the URLs from a webpage. You can take it a step further by making it more advanced—using regular expressions (regex) to also collect data like phone numbers and email addresses from the page.
2. File Renaming
import os
folder_path = '/path/to/folder'
for filename in os.listdir(folder_path):
os.rename(os.path.join(folder_path, filename), os.path.join(folder_path, filename.replace(" ", "_")))This Python automation project will automatically rename every file inside a chosen folder by replacing any spaces in the file names with underscores.
3. Automated Email Sending
import smtplib
server = smtplib.SMTP('smtp.gmail.com', 587)
server.starttls()
server.login("your_email", "your_password")
msg = "Hello, this is a test email!"
server.sendmail("your_email", "recipient_email", msg)
server.quit()This Python automation project uses the smtplib library to send a basic email. Just replace “your_email” and “your_password” with your own Gmail login details, and update “recipient_email” with the email address of the person you want to send the message to.
4. Data Extraction from Excel
import pandas as pd
data = pd.read_excel('example.xlsx')
print(data.head())This Python automation project uses the pandas library to open and read data from an Excel file called “example.xlsx.” After loading the file, it displays the first five rows of the dataset.
5. Automated Web Browsing
from selenium import webdriver
browser = webdriver.Firefox()
browser.get('https://www.python.org')
print(browser.title)
browser.quit()This script uses the Selenium library to launch the Firefox browser, visit the official Python website, display the page title in the console, and then automatically close the browser. Before running the script, make sure you have installed the Firefox GeckoDriver—just search for it on Google and download it—so Firefox can be controlled programmatically.
6. Automated Tweeting
import tweepy
consumer_key = 'your_key'
consumer_secret = 'your_secret'
access_token = 'your_token'
access_token_secret = 'your_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('Hello, this is a test tweet from Python!')This script uses the Tweepy library to publish a tweet on your Twitter profile that says, “Hello, this is a test tweet from Python!” To make it work, you’ll need to replace ‘your_key’, ‘your_secret’, ‘your_token’, and ‘your_token_secret’ with your real Twitter API credentials. For complete setup instructions and configuration details, check the official Tweepy documentation using the documentation link.
7. Automated Image Downloading
import urllib.request
urllib.request.urlretrieve("https://www.python.org/static/img/python-logo.png", "python-logo.png")This script uses the urllib.request library to fetch the Python logo from the official Python website and store it as “python-logo.png” in your current working folder.
8. Data Backup
import shutil
shutil.copy2('/path/to/file.txt', '/path/to/destination_folder')This script uses the shutil library to make a backup copy of “file.txt” by copying it to another folder.
9. Automated Form Filling
from selenium import webdriver
from selenium.webdriver.common.keys import Keys
browser = webdriver.Firefox()
browser.get('https://www.google.com')
search = browser.find_element_by_name('q')
search.send_keys("Hello, Google!")
search.send_keys(Keys.RETURN)This script uses Selenium to launch the Firefox browser, go to Google, and automatically enter a query into the search box before submitting it.
Before running the script, make sure you have installed the Firefox GeckoDriver—search for it on Google and download it—so that Selenium can control the Firefox browser automatically.
10. Generating PDF Reports
from reportlab.pdfgen import canvas
c = canvas.Canvas("hello.pdf")
c.drawString(100,750,"Hello, this is a PDF report!")
c.save()This script uses the reportlab library to generate a PDF file called “hello.pdf,” add some text to it, and then save the file.
Make sure you install the required Python libraries using pip before running the scripts, and update any placeholder values with your own information wherever necessary.
Each example shown here demonstrates a common type of automation task that Python developers often work on. Keep in mind that these samples are simplified just to explain the concept. In real-world projects, you would usually add proper error handling, validations, and extra features. Also, don’t forget to replace placeholders like ‘your_email’, ‘your_password’, ‘your_key’, and similar fields with your actual credentials.