Ten Python scripts to automate your daily tasks
In this era of automation, we have a lot of repetitive and boring tasks to do. Think of these boring things you no longer have to do over and over again, automate them and make your life easier. Well in this article, I will introduce you to 10 Python automation scripts to make your work more automated and your life easier. So, no more repetitive tasks put this article on your list and let’s get started.
1. Parse and extract HTML
This automated script will help you extract HTML from web page URLs, and then also provide you with tools that can be used to parse the HTML to get the data. Function. This awesome script is a great treat for web crawlers and those who want to parse HTML to get important data.
# Parse and Extract HTML # pip install gazpacho import gazpacho # Extract HTML from URL url = 'https://www.example.com/' html = gazpacho.get(url) print(html) # Extract HTML with Headers headers = {'User-Agent': 'Mozilla/5.0'} html = gazpacho.get(url, headers=headers) print(html) # Parse HTML parse = gazpacho.Soup(html) # Find single tags tag1 = parse.find('h1') tag2 = parse.find('span') # Find multiple tags tags1 = parse.find_all('p') tags2 = parse.find_all('a') # Find tags by class tag = parse.find('.class') # Find tags by Attribute tag = parse.find("div", attrs={"class": "test"}) # Extract text from tags text = parse.find('h1').text text = parse.find_all('p')[0].text
2. QR code scanner
If you have a large number of QR code images or just want to scan QR code images, then this automated script will help you. This script uses the Qrtools module, which enables you to scan QR images programmatically.
# Qrcode Scanner # pip install qrtools from qrtools import Qr def Scan_Qr(qr_img): qr = Qr() qr.decode(qr_img) print(qr.data) return qr.data print("Your Qr Code is: ", Scan_Qr("qr.png"))
3. Screenshots
Now you can take screenshots programmatically using this awesome script below. Using this script you can take a screenshot directly or take a screenshot of a specific area.
# Grab Screenshot # pip install pyautogui # pip install Pillow from pyautogui import screenshot import time from PIL import ImageGrab # Grab Screenshot of Screen def grab_screenshot(): shot = screenshot() shot.save('my_screenshot.png') # Grab Screenshot of Specific Area def grab_screenshot_area(): area = (0, 0, 500, 500) shot = ImageGrab.grab(area) shot.save('my_screenshot_area.png') # Grab Screenshot with Delay def grab_screenshot_delay(): time.sleep(5) shot = screenshot() shot.save('my_screenshot_delay.png')
4. Create Audiobooks
Tired of manually converting your PDF books to audiobooks, then here is your automated script that uses GTTS module to convert your PDF text to Audio.
# Create Audiobooks # pip install gTTS # pip install PyPDF2 from PyPDF2 import PdfFileReader as reader from gtts import gTTS def create_audio(pdf_file): read_Pdf = reader(open(pdf_file, 'rb')) for page in range(read_Pdf.numPages): text = read_Pdf.getPage(page).extractText() tts = gTTS(text, lang='en') tts.save('page' + str(page) + '.mp3') create_audio('book.pdf')
5. PDF Editor
Use the following automated script to edit PDF files using Python. This script uses the PyPDF4 module, which is an upgraded version of PyPDF2. Below I have written common functions such as Parse Text and Remove pages.
This is a handy script when you have a lot of PDF files to edit or need to use the script programmatically in a Python project.
# PDF Editor # pip install PyPDf4 import PyPDF4 # Parse the Text from PDF def parse_text(pdf_file): reader = PyPDF4.PdfFileReader(pdf_file) for page in reader.pages: print(page.extractText()) # Remove Page from PDF def remove_page(pdf_file, page_numbers): filer = PyPDF4.PdfReader('source.pdf', 'rb') out = PyPDF4.PdfWriter() for index in page_numbers: page = filer.pages[index] out.add_page(page) with open('rm.pdf', 'wb') as f: out.write(f) # Add Blank Page to PDF def add_page(pdf_file, page_number): reader = PyPDF4.PdfFileReader(pdf_file) writer = PyPDF4.PdfWriter() writer.addPage() with open('add.pdf', 'wb') as f: writer.write(f) # Rotate Pages def rotate_page(pdf_file): reader = PyPDF4.PdfFileReader(pdf_file) writer = PyPDF4.PdfWriter() for page in reader.pages: page.rotateClockwise(90) writer.addPage(page) with open('rotate.pdf', 'wb') as f: writer.write(f) # Merge PDFs def merge_pdfs(pdf_file1, pdf_file2): pdf1 = PyPDF4.PdfFileReader(pdf_file1) pdf2 = PyPDF4.PdfFileReader(pdf_file2) writer = PyPDF4.PdfWriter() for page in pdf1.pages: writer.addPage(page) for page in pdf2.pages: writer.addPage(page) with open('merge.pdf', 'wb') as f: writer.write(f)
6. Mini Stackoverflow
As a programmer, I know we need StackOverflow every day, but you no longer need to search for it on Google. Now get the solution directly in your CMD while you continue working on your project. By using the Howdoi module, you can get StackOverflow solutions in the command prompt or terminal. Below you can find some examples to try.
# Automate Stackoverflow # pip install howdoi # Get Answers in CMD #example 1 > howdoi how do i install python3 # example 2 > howdoi selenium Enter keys # example 3 > howdoi how to install modules # example 4 > howdoi Parse html with python # example 5 > howdoi int not iterable error # example 6 > howdoi how to parse pdf with python # example 7 > howdoi Sort list in python # example 8 > howdoi merge two lists in python # example 9 >howdoi get last element in list python # example 10 > howdoi fast way to sort list
7. Automate your phone
This automation script will help you automate your smartphone using Android Debug Bridge (ADB) in Python. Below I'll show you how to automate common tasks like swipe gestures, calling, sending text messages, and more.
You can learn more about ADB and explore more exciting ways to automate your phone and make your life easier.
# Automate Mobile Phones # pip install opencv-python import subprocess def main_adb(cm): p = subprocess.Popen(cm.split(' '), stdout=subprocess.PIPE, shell=True) (output, _) = p.communicate() return output.decode('utf-8') # Swipe def swipe(x1, y1, x2, y2, duration): cmd = 'adb shell input swipe {} {} {} {} {}'.format(x1, y1, x2, y2, duration) return main_adb(cmd) # Tap or Clicking def tap(x, y): cmd = 'adb shell input tap {} {}'.format(x, y) return main_adb(cmd) # Make a Call def make_call(number): cmd = f"adb shell am start -a android.intent.action.CALL -d tel:{number}" return main_adb(cmd) # Send SMS def send_sms(number, message): cmd = 'adb shell am start -a android.intent.action.SENDTO -dsms:{} --es sms_body "{}"'.format(number, message) return main_adb(cmd) # Download File From Mobile to PC def download_file(file_name): cmd = 'adb pull /sdcard/{}'.format(file_name) return main_adb(cmd) # Take a screenshot def screenshot(): cmd = 'adb shell screencap -p' return main_adb(cmd) # Power On and Off def power_off(): cmd = '"adb shell input keyevent 26"' return main_adb(cmd)
8. Monitor CPU/GPU Temperature
You may use CPU-Z or any spec monitoring software to capture your Cpu and Gpu temperatures, but you can also do it programmatically. Well, this script uses Pythonnet and OpenhardwareMonitor to help you monitor the current Cpu and Gpu temperatures.
You can use it to notify yourself when a certain temperature is reached, or you can use it in Python projects to simplify your daily life.
# Get CPU/GPU Temperature # pip install pythonnet import clr clr.AddReference("OpenHardwareMonitorLib") from OpenHardwareMonitorLib import * spec = Computer() spec.GPUEnabled = True spec.CPUEnabled = True spec.Open() # Get CPU Temp def Cpu_Temp(): while True: for cpu in range(0, len(spec.Hardware[0].Sensors)): if "/temperature" in str(spec.Hardware[0].Sensors[cpu].Identifier): print(str(spec.Hardware[0].Sensors[cpu].Value)) # Get GPU Temp def Gpu_Temp() while True: for gpu in range(0, len(spec.Hardware[0].Sensors)): if "/temperature" in str(spec.Hardware[0].Sensors[gpu].Identifier): print(str(spec.Hardware[0].Sensors[gpu].Value))
9. Instagram Upload Bot
Instagram is a famous social media platform where you don’t need to upload photos or videos through your smartphone now. You can do this programmatically using the following script.
# Upload Photos and Video on Insta # pip install instabot from instabot import Bot def Upload_Photo(img): robot = Bot() robot.login(username="user", password="pass") robot.upload_photo(img, caption="Medium Article") print("Photo Uploaded") def Upload_Video(video): robot = Bot() robot.login(username="user", password="pass") robot.upload_video(video, caption="Medium Article") print("Video Uploaded") def Upload_Story(img): robot = Bot() robot.login(username="user", password="pass") robot.upload_story(img, caption="Medium Article") print("Story Photos Uploaded") Upload_Photo("img.jpg") Upload_Video("video.mp4")
10. Video Watermark
Add a watermark to your videos using this automated script that uses Moviepy, a convenient video editing module. In the script below you can see how to add a watermark and use it freely.
# Video Watermark with Python # pip install moviepy from moviepy.editor import * clip = VideoFileClip("myvideo.mp4", audio=True) width,height = clip.size text = TextClip("WaterMark", font='Arial', color='white', fontsize=28) set_color = text.on_color(size=(clip.w + text.w, text.h-10), color=(0,0,0), pos=(6,'center'), col_opacity=0.6) set_textPos = set_color.set_pos( lambda pos: (max(width/30,int(width-0.5* width* pos)),max(5*height/6,int(100* pos))) ) Output = CompositeVideoClip([clip, set_textPos]) Output.duration = clip.duration Output.write_videofile("output.mp4", fps=30, codec='libx264')
Final Thoughts
Hope you find some new and interesting things to automate your daily tasks. If you like this article, please don’t forget to share it with your friends. Please also like me and follow me. If you have any questions, please leave me a message in the message area. Thank you for reading and wish you a happy life!
The above is the detailed content of Ten Python scripts to automate your daily tasks. For more information, please follow other related articles on the PHP Chinese website!

Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Article

Hot Tools

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

Hot Topics











PHP is mainly procedural programming, but also supports object-oriented programming (OOP); Python supports a variety of paradigms, including OOP, functional and procedural programming. PHP is suitable for web development, and Python is suitable for a variety of applications such as data analysis and machine learning.

PHP is suitable for web development and rapid prototyping, and Python is suitable for data science and machine learning. 1.PHP is used for dynamic web development, with simple syntax and suitable for rapid development. 2. Python has concise syntax, is suitable for multiple fields, and has a strong library ecosystem.

To run Python code in Sublime Text, you need to install the Python plug-in first, then create a .py file and write the code, and finally press Ctrl B to run the code, and the output will be displayed in the console.

PHP originated in 1994 and was developed by RasmusLerdorf. It was originally used to track website visitors and gradually evolved into a server-side scripting language and was widely used in web development. Python was developed by Guidovan Rossum in the late 1980s and was first released in 1991. It emphasizes code readability and simplicity, and is suitable for scientific computing, data analysis and other fields.

Python is more suitable for beginners, with a smooth learning curve and concise syntax; JavaScript is suitable for front-end development, with a steep learning curve and flexible syntax. 1. Python syntax is intuitive and suitable for data science and back-end development. 2. JavaScript is flexible and widely used in front-end and server-side programming.

Golang is better than Python in terms of performance and scalability. 1) Golang's compilation-type characteristics and efficient concurrency model make it perform well in high concurrency scenarios. 2) Python, as an interpreted language, executes slowly, but can optimize performance through tools such as Cython.

Writing code in Visual Studio Code (VSCode) is simple and easy to use. Just install VSCode, create a project, select a language, create a file, write code, save and run it. The advantages of VSCode include cross-platform, free and open source, powerful features, rich extensions, and lightweight and fast.

Running Python code in Notepad requires the Python executable and NppExec plug-in to be installed. After installing Python and adding PATH to it, configure the command "python" and the parameter "{CURRENT_DIRECTORY}{FILE_NAME}" in the NppExec plug-in to run Python code in Notepad through the shortcut key "F6".
