Formatter Python
Format e abbellisci il codice Python seguendo le linee guida dello stile PEP 8
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About This Tool
How to Use This Tool
Input Your Python
Paste your Python code into the input area. The formatter handles minified Python, inconsistently formatted code, or code with mixed indentation. Load sample data to see formatting in action.
Choose Formatting Style
Select your preferred indentation (2 spaces, 4 spaces, or tabs) and other Python formatting preferences. The tool applies industry-standard Python style guidelines but can be customized to match your project's standards.
Copy Formatted Output
Formatted Python appears instantly in the output panel. Use the "Copy" button for clipboard, or "Download" to save as a file. The formatted Python is fully functional with dramatically improved readability.
Technical Implementation
Best Practices & Tips
- โFormat Python before code reviews. Clean, consistently formatted code is easier to review and helps reviewers focus on logic rather than style issues.
- โUse consistent indentation across your team. Choose 2 spaces, 4 spaces, or tabs for Python and stick with it. This formatter makes it easy to enforce your team's standard.
- โFormat minified Python for debugging. When debugging production issues, format the minified code first to make it human-readable. This tool handles even heavily compressed Python.
- โCombine with validation. Always validate Python after formatting to ensure no errors were introduced. Use our Python validator alongside this formatter.
Troubleshooting Common Issues
Problem: Formatted output has syntax errors
Solution: The formatter preserves your original Python content exactly - it only changes whitespace and indentation. If output has errors, the input likely had errors. Validate first, then format.
Example: If your minified Python had missing commas, formatting will make them more visible but won't fix them.
Problem: Indentation doesn't match my preference
Solution: Check the indentation settings (2 spaces, 4 spaces, or tabs). The formatter applies your chosen style consistently throughout the Python.
Example: If you want 4-space indentation but see 2 spaces, change the setting and re-format.
Related Development Topics
Understanding Python
Learn the fundamentals of Python including syntax rules, data types, common use cases, and how it fits into modern development workflows. Understanding Python structure helps you write better code and debug issues faster.
Development Workflow Optimization
Discover how to integrate these tools into your daily development workflow for maximum productivity. Learn keyboard shortcuts, automation techniques, and best practices for using multiple tools together efficiently.