其他
独家 ｜ 17个可以用于工作自动化的最佳Python脚本（下集）
作者：Abdul Hannan Hassan
翻译：付雯欣
校对：赵茹萱
本文约4800字，建议阅读10分钟
让我们进入自动化的世界，探索17个可以简化工作并节省时间精力的Python脚本。
引言
目录（下篇）
10.网络自动化
10.1检查网站状态
```# Python script to check the status of a websiteimport requestsdef check_website_status(url):response = requests.get(url)if response.status_code == 200:# Your code here to handle a successful responseelse:# Your code here to handle an unsuccessful response```10.2自动 FTP 传输
```# Python script to automate FTP file transfersfrom ftplib import FTPdef ftp_file_transfer(host, username, password, local_file_path, remote_file_path):with FTP(host) as ftp:ftp.login(user=username, passwd=password)with open(local_file_path, 'rb') as f:ftp.storbinary(f'STOR {remote_file_path}', f)```10.3网络配置设置
```# Python script to automate network device configurationfrom netmiko import ConnectHandlerdef configure_network_device(host, username, password, configuration_commands):device = {'device_type': 'cisco_ios','host': host,'username': username,'password': password,}with ConnectHandler(device) as net_connect:net_connect.send_config_set(configuration_commands)```11. 数据清理和转换
11.1从数据中删除重复项
```# Python script to remove duplicates from dataimport pandas as pddef remove_duplicates(data_frame):cleaned_data = data_frame.drop_duplicates()return cleaned_data```11.2数据标准化
```# Python script for data normalizationimport pandas as pddef normalize_data(data_frame):normalized_data = (data_frame - data_frame.min()) / (data_frame.max() - data_frame.min())return normalized_data``````# Python script to handle missing values in dataimport pandas as pddef handle_missing_values(data_frame):filled_data = data_frame.fillna(method='ffill')return filled_data```12. 自动化 PDF 操作
12.1从PDF中提取文本
```# Python script to extract text from PDFsimportPyPDF2def extract_text_from_pdf(file_path):with open(file_path, 'rb') as f:pdf_reader = PyPDF2.PdfFileReader(f)text = ''for page_num in range(pdf_reader.numPages):page = pdf_reader.getPage(page_num)text += page.extractText()return text```12.2合并多个PDF
```# Python script to merge multiple PDFs into a single PDFimport PyPDF2def merge_pdfs(input_paths, output_path):pdf_merger = PyPDF2.PdfMerger()for path in input_paths:with open(path, 'rb') as f:pdf_merger.append(f)with open(output_path, 'wb') as f:pdf_merger.write(f)``````# Python script to add password protection to a PDFimport PyPDF2def add_password_protection(input_path, output_path, password):with open(input_path, 'rb') as f:pdf_reader = PyPDF2.PdfFileReader(f)pdf_writer = PyPDF2.PdfFileWriter()for page_num in range(pdf_reader.numPages):page = pdf_reader.getPage(page_num)pdf_writer.addPage(page)pdf_writer.encrypt(password)with open(output_path, 'wb') as output_file:pdf_writer.write(output_file)```13. 自动化GUI
13.1自动化鼠标和键盘
```# Python script for GUI automation using pyautoguiimport pyautoguidef automate_gui():# Your code here for GUI automation using pyautoguipass```13.2创建简单的 GUI 应用程序
```# Python script to create simple GUI applications using tkinterimport tkinter as tkdef create_simple_gui():# Your code here to define the GUI elements and behaviorpass``````# Python script to handle GUI events using tkinterimport tkinter as tkdef handle_gui_events():passdef on_button_click():# Your code here to handle button click eventroot = tk.Tk()button = tk.Button(root, text="Click Me", command=on_button_click)button.pack()root.mainloop()```14. 自动化测试
14.1使用 Python 进行单元测试
```# Python script for unit testing with the unittest moduleimport unittestdef add(a, b):return a + bclass TestAddFunction(unittest.TestCase):def test_add_positive_numbers(self):self.assertEqual(add(2, 3), 5)def test_add_negative_numbers(self):self.assertEqual(add(-2, -3), -5)def test_add_zero(self):self.assertEqual(add(5, 0), 5)if __name__ == '__main__':unittest.main()```14.2用于 Web 测试的 Selenium
```# Python script for web testing using Seleniumfrom selenium import webdriverdef perform_web_test():driver = webdriver.Chrome()driver.get("https://www.example.com")# Your code here to interact with web elements and perform testsdriver.quit()``````# Python script for building test automation frameworks# Your code here to define the framework architecture and tools```15. 自动化云服务
15.1向云空间上传文件
```# Python script to automate uploading files to cloud storage# Your code here to connect to a cloud storage service (e.g., AWS S3, Google Cloud Storage)# Your code here to upload files to the cloud storage```15.2管理AWS资源
```# Python script to manage AWS resources using Boto3import boto3def create_ec2_instance(instance_type, image_id, key_name, security_group_ids):ec2 = boto3.resource('ec2')instance = ec2.create_instances(ImageId=image_id,InstanceType=instance_type,KeyName=key_name,SecurityGroupIds=security_group_ids,MinCount=1,MaxCount=1)return instance[0].id ``````# Python script to automate interactions with Google Drive# Your code here to connect to Google Drive using the respective API# Your code here to perform tasks such as uploading files, creating folders, etc.```16. 财务自动化
16.1分析股票价格
```# Python script for stock price analysis# Your code here to fetch stock data using a financial API (e.g., Yahoo Finance)# Your code here to analyze the data and derive insights```16.2货币汇率
```# Python script to fetch currency exchange rates# Your code here to connect to a currency exchange API (e.g., Fixer.io, Open Exchange Rates)# Your code here to perform currency conversions and display exchange rates``````# Python script for budget tracking and analysis# Your code here to read financial transactions from a CSV or Excel file# Your code here to calculate income, expenses, and savings# Your code here to generate reports and visualize budget data```17. 自然语言处理
17.1情感分析
```# Python script for sentiment analysis using NLTK or other NLP librariesimportnltkfromnltk.sentiment import SentimentIntensityAnalyzerdefanalyze_sentiment(text):nltk.download('vader_lexicon')sia = SentimentIntensityAnalyzer()sentiment_score = sia.polarity_scores(text)return sentiment_score```17.2文本摘要
```# Python script for text summarization using NLP techniques# Your code here to read the text data and preprocess it (e.g., removing stop words)# Your code here to generate the summary using techniques like TF-IDF, TextRank, or BERT``````# Python script for language translation using NLP libraries# Your code here to connect to a translation API (e.g., Google Translate, Microsoft Translator)# Your code here to translate text between different languages```结论
一些经常被问到的问题
1.Python适合自动化吗？
2.使用 Python 自动化任务有哪些好处？
3. 我可以在我的项目中使用这些脚本吗？
4. 我需要安装任何库来运行这些脚本吗？
5. 我可以将这些脚本用于商业用途吗？
6. 如何针对我的特定项目进一步优化这些脚本？
7. 我可以使用Python自动执行复杂的任务吗？
8. 自动化任务时是否有任何安全考虑？
译者简介
付雯欣，中国人民大学统计学专业硕士研究生在读，数据科学道路上的探索者一枚。小时候梦想做数学家，现在依旧着迷于数据背后的世界。热爱阅读，热爱遛弯儿，不停感受打开生命大门的瞬间。欢迎大家和我一起用概率的视角看世界～
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