Python Script Integration

Key Features

• subprocess Module - Open URLs from Python
• Dynamic Content - Generate post text programmatically
• Data Visualization - Post charts and graphs
• URL Building - urllib.parse for proper encoding
• Batch Processing - Loop through datasets
• Scheduled Posting - Add date parameters
• Error Handling - Python try/except for robustness
• Data Science Integration - matplotlib → Statuz
• API Integration - Fetch data → process → post
• Automation Scripts - Cron-compatible Python scripts
• Template System - Python string templates for posts
• File Generation - Create → attach → post
• Complex Logic - Full Python capabilities available

Why Data Scientists Love It

Data → insights → social posts. Python handles data processing, Statuz handles publishing. Automate weekly reports, daily metrics, or real-time alerts. Data-driven social media.

Pro Tips

• urllib.parse.quote() for URL encoding
• subprocess.run(['open', url]) executes URL scheme
• Template strings for post text generation
• matplotlib/seaborn: Generate charts → post
• pandas integration: Process data → create posts
• Schedule parameter: Automate posting times
• Batch loops: Create multiple posts programmatically
• Error handling: Try/except for robust automation
• Logging: Track what was posted
• Cron jobs: Schedule script execution

Example Script

import subprocess
import urllib.parse
from datetime import datetime

# Generate content
text = f"Daily metrics for {datetime.now():%B %d}: ..."
chart_path = "/Users/name/chart.png"

# Build URL
url = f"statuz://compose?text={urllib.parse.quote(text)}&media={chart_path}"

# Execute
subprocess.run(['open', url])