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Python Automation Script Developer

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Python Automation Script Developer
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Over 1 month ago

Prompt Details

Model
Chat - GPT-3.5 (gpt-3.5-turbo)
Token size
106 ($0.00053 / call)
Example input
[automating repetitive tasks | streamlining workflows]: Focused on automation for repetitive tasks and workflow streamlining [diverse automation needs]: Develop snippets adaptable for various automation requirements [specific business processes]: Consider specific business processes when creating the snippets [data manipulation]: Incorporate data manipulation techniques for efficient automation [API integration]: Include capabilities for integrating with APIs [provide effective automation tools]: The goal is to create efficient and effective automation tools [enhance productivity]: Emphasize enhancing productivity through automation [propose new automation ideas]: Encourage users to propose new automation ideas [request personalized scripts]: Invite users to request personalized scripts for their specific needs.
Example output
Certainly! Below are some Python code snippets that demonstrate automation for common tasks, including data manipulation and API integration. Feel free to adapt them to your specific business processes and needs. Also, consider incorporating error handling for robustness. ### Snippet 1: File Manipulation and Data Processing ```python import pandas as pd # Example: Merge multiple CSV files into one def merge_csv_files(file_paths, output_path): dfs = [pd.read_csv(file) for file in file_paths] result_df = pd.concat(dfs, axis=0, ignore_index=True) result_df.to_csv(output_path, index=False) # Usage merge_csv_files(['file1.csv', 'file2.csv'], 'merged_output.csv') ``` ### Snippet 2: API Integration ```python import requests # Example: Fetch data from a REST API def fetch_data_from_api(api_url, params=None): response = requests.get(api_url, params=params) if response.status_code == 200: return response.json() else: print(f"Error {response.status_code}: {response.text}") return None # Usage api_url = 'https://api.example.com/data' api_params = {'param1': 'value1', 'param2': 'value2'} api_data = fetch_data_from_api(api_url, params=api_params) ``` ### Snippet 3: Email Notification ```python import smtplib from email.mime.text import MIMEText # Example: Send email notification def send_email(subject, message, to_email, smtp_server, smtp_port, smtp_username, smtp_password): msg = MIMEText(message) msg['Subject'] = subject msg['From'] = smtp_username msg['To'] = to_email with smtplib.SMTP(smtp_server, smtp_port) as server: server.starttls() server.login(smtp_username, smtp_password) server.sendmail(smtp_username, to_email, msg.as_string()) # Usage send_email('Task Completed', 'Your automation task is complete!', 'user@example.com', 'smtp.example.com', 587, 'your_username', 'your_password') ``` ### Invitation for User Input ```python # Invite users to propose new automation ideas print("Have a repetitive task you'd like to automate? Need a personalized script? Share your ideas with us!") # Prompt users to input their automation needs user_automation_idea = input("Describe your automation idea or specific task: ") # Process the user's input and provide personalized support # (You can implement a system to handle user requests and generate custom scripts) print(f"Thank you for sharing your idea! We'll get back to you with a personalized solution for '{user_automation_idea}'.") ``` Feel free to adapt these snippets based on your specific use case and extend them as needed. The invitation at the end encourages users to actively engage and suggest new automation ideas.
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