10 个实用的 Python 自动化脚本 | 极客日志

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10 个实用的 Python 自动化脚本

Python 自动化脚本涵盖了图片处理、视频编辑、PDF 转换、API 请求、电池通知、语法检查、拼写修正、文件下载、新闻获取及 GUI 开发。通过 Pillow、Moviepy、PyMuPDF 等库实现图像裁剪压缩、视频剪辑速度调整、PDF 转图等功能。利用 urllib3 和 requests 进行网络交互，使用 plyer 和 psutil 监控硬件状态。结合 HappyTransformer 和 TextBlob 优化文本质量，并通过 PySide6 构建图形界面应用。这些脚本旨在提升日常重复性任务的效率。

霸天发布于 2025/2/7更新于 2026/4/190 浏览

10 个实用的 Python 自动化脚本

重复性任务总是耗时且无聊，例如裁剪 100 张照片、Fetch API 请求或纠正拼写和语法。为什么不自动化它们呢？以下是 10 个 Python 自动化脚本。

01. 图片优化器

使用这个自动化脚本，可以帮助把图像处理的更好，你可以像在 Photoshop 中一样编辑它们。该脚本使用流行的 Pillow 模块。

# Image Optimizing
# pip install Pillow
import PIL

# Cropping
im = PIL.Image.open('Image1.jpg')
im = im.crop((34, 23, 100, 100))

# Resizing
im = PIL.Image.open('Image1.jpg')
im = im.resize((50, 50))

# Flipping
im = PIL.Image.open('Image1.jpg')
im = im.transpose(PIL.Image.FLIP_LEFT_RIGHT)

# Rotating
im = PIL.Image.open('Image1.jpg')
im = im.rotate(360)

# Compressing
im = PIL.Image.open('Image1.jpg')
im.save('Image1.jpg', optimize=True, quality=90)

# Bluring
im = PIL.Image.open('Image1.jpg')
im = im.filter(PIL.ImageFilter.BLUR)

# Sharpening
im = PIL.Image.open('Image1.jpg')
im = im.filter(PIL.ImageFilter.SHARPEN)

# Set Brightness
im = PIL.Image.open('Image1.jpg')
im = PIL.ImageEnhance.Brightness(im).enhance(1.5)

# Set Contrast
im = PIL.Image.open('Image1.jpg')
im = PIL.ImageEnhance.Contrast(im).enhance()


im = PIL.Image.()
im = PIL.ImageOps.grayscale(im)
im = PIL.ImageOps.invert(im)
im = PIL.ImageOps.posterize(im, )


im.save()

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# Video Optimizer
# pip install moviepy
import moviepy.editor as pyedit

# Load the Video
video = pyedit.VideoFileClip('vid.mp4')

# Trimming
vid1 = video.subclip(0, 10)
vid2 = video.subclip(20, 40)
final_vid = pyedit.concatenate_videoclips([vid1, vid2])

# Speed up the video
final_vid = final_vid.speedx(2)

# Adding Audio to the video
aud = pyedit.AudioFileClip('bg.mp3')
final_vid = final_vid.set_audio(aud)

# Reverse the Video
final_vid = final_vid.fx(pyedit.vfx.time_mirror)

# Merge two videos
vid1 = pyedit.VideoFileClip('vid1.mp4')
vid2 = pyedit.VideoFileClip('vid2.mp4')
final_vid = pyedit.concatenate_videoclips([vid1, vid2])

# Add VFX to Video
vid1 = final_vid.fx(pyedit.vfx.mirror_x)
vid2 = final_vid.fx(pyedit.vfx.invert_colors)
final_vid = pyedit.concatenate_videoclips([vid1, vid2])

# Add Images to Video
img1 = pyedit.ImageClip('img1.jpg')
img2 = pyedit.ImageClip('img2.jpg')
final_vid = pyedit.concatenate_videoclips([img1, img2])

# Save the video
final_vid.write_videofile('final.mp4')

# PDF to Images
# pip install PyMuPDF
import fitz

def pdf_to_images(pdf_file):
    doc = fitz.open(pdf_file)
    for p in doc:
        pix = p.get_pixmap()
        output = f'page{p.number}.png'
        pix.writePNG(output)

pdf_to_images('test.pdf')

# pip install urllib3
import urllib3

# Fetch API data
url = 'https://api.github.com/users/psf/repos'
http = urllib3.PoolManager()
response = http.request('GET', url)
print(response.status)
print(response.data)

# Post API data
url = 'https://httpbin.org/post'
http = urllib3.PoolManager()
response = http.request('POST', url, fields={'hello': 'world'})
print(response.status)

# Battery Notifier
# pip install plyer
from plyer import notification
import psutil
from time import sleep

while True:
    battery = psutil.sensors_battery()
    life = battery.percent
    if life < 50:
        notification.notify(
            title='Battery Low',
            message='Please connect to power source',
            timeout=10
        )
    sleep(60)

# Grammar Fixer
# pip install happytransformer
from happytransformer import HappyTextToText as HappyTTT
from happytransformer import TTSettings

def Grammar_Fixer(Text):
    Grammer = HappyTTT('T5', 'prithivida/grammar_error_correcter_v1')
    config = TTSettings(do_sample=True, top_k=10, max_length=100)
    corrected = Grammer.generate_text(Text, args=config)
    print('Corrected Text:', corrected.text)

Text = 'This is simple text we know this'
Grammar_Fixer(Text)

# Spell Fixer
# pip install textblob
from textblob import *

# Fixing Paragraph Spells
def fix_paragraph_words(paragraph):
    sentence = TextBlob(paragraph)
    correction = sentence.correct()
    print(correction)

# Fixing Words Spells
def fix_word_spell(word):
    word = Word(word)
    correction = word.correct()
    print(correction)

fix_paragraph_words('This is sample text!!')
fix_word_spell('maangoo')

# Python Downloader
# pip install internetdownloadmanager
import internetdownloadmanager as idm

def Downloader(url, output):
    pydownloader = idm.Downloader(worker=20,
                                  part_size=1024*1024*10,
                                  resumable=True,)
    pydownloader.download(url, output)

Downloader('Link url', 'image.jpg')
Downloader('Link url', 'video.mp4')

# World News Fetcher
# pip install requests
import requests

ApiKey = 'YOUR_API_KEY'
url = f'https://api.worldnewsapi.com/search-news?text=hurricane&api-key={ApiKey}'
headers = {
  'Accept': 'application/json'
}
response = requests.get(url, headers=headers)
print('News:', response.json())

# PySide 6 
# pip install PySide6
from PySide6.QtWidgets import *
from PySide6.QtGui import *
import sys

app = QApplication(sys.argv)
window = QWidget()

# Resize the Window
window.resize(500, 500)

# Set the Window Title
window.setWindowTitle('PySide6 Window')

# Add Buttons
button = QPushButton('Click Me', window)
button.move(200, 200)

# Add Label Text
label = QLabel('Hello Medium', window)
label.move(200, 150)

# Add Input Box
input_box = QLineEdit(window)
input_box.move(200, 250)
print(input_box.text())

# Add Radio Buttons
radio_button = QRadioButton('Radio Button', window)
radio_button.move(200, 300)

# Add Checkbox
checkbox = QCheckBox('Checkbox', window)
checkbox.move(200, 350)

# Add Slider
slider = QSlider(window)
slider.move(200, 400)

# Add Progress Bar
progress_bar = QProgressBar(window)
progress_bar.move(200, 450)

# Add Image 
image = QLabel(window)
image.setPixmap(QPixmap('image.png'))

# Add Message Box
msg = QMessageBox(window)
msg.setText('Message Box')
msg.setStandardButtons(QMessageBox.Ok | QMessageBox.Cancel)
window.show()
sys.exit(app.exec())