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Hint: Paste your code, customize font size and line numbers, then click Export PDF to download formatted code.
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Hint: Paste any code and click Format to beautify indentation, spacing, and structure instantly.
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How to Format Python Code
Formatting Python code is quick and easy with our free online Python formatter. Follow these simple steps to beautify your Python code according to PEP 8 standards.
- Paste Your Python Code - Copy your Python code and paste it into the editor above.
- Click Format - Click the format button to automatically format your Python code with PEP 8 style.
- Review Output - Check the formatted Python output with proper indentation and spacing.
- Copy Formatted Code - Copy the beautifully formatted Python code to use in your projects.
Use Cases
Code Review
Format Python code before code review to ensure PEP 8 compliance and make reviews easier for team members.
Legacy Code Cleanup
Format old or messy Python code to improve readability and maintainability in legacy projects.
Learning Python
Format Python code examples to see proper formatting and learn PEP 8 style guidelines.
Team Consistency
Ensure consistent Python code formatting across team projects for better collaboration and maintainability.
Free Online Python Code Formatter and Beautifier
Our Python formatter is a powerful tool for formatting Python code according to PEP 8 style guidelines. Whether you're cleaning up legacy code, preparing for code review, or learning Python best practices, our Python beautifier ensures your code is properly formatted with consistent indentation and spacing.
What is Python Formatting?
Python formatting involves applying PEP 8 style guidelines to Python code, including proper indentation (4 spaces), line length limits (79 characters), spacing around operators, and consistent naming conventions. Proper Python formatting improves code readability and maintainability.
Python Formatter Features
Our online Python formatter provides several key features for formatting Python code:
- PEP 8 compliant formatting
- Automatic indentation with 4 spaces
- Proper spacing around operators and keywords
- Line length management
- Support for Python 2 and 3 syntax
- Instant formatting in your browser
Why Format Python Code?
Formatting Python code offers several benefits for developers and teams. Properly formatted Python code is easier to read, understand, and maintain. It follows PEP 8 standards, making it more professional and consistent. Formatted code also reduces the likelihood of errors and makes code reviews more efficient.
PEP 8 Style Guidelines
Our Python formatter follows PEP 8, the official Python style guide. This includes proper indentation, maximum line length, spacing conventions, naming conventions, and other Python formatting best practices. Following PEP 8 ensures your code is consistent with the Python community standards.
Frequently Asked Questions
What is a Python formatter?
A Python formatter is a tool that formats Python code according to PEP 8 style guidelines. It automatically applies proper indentation, spacing, line breaks, and formatting rules to make Python code more readable and maintainable.
Does the Python formatter follow PEP 8?
Yes, our Python formatter follows PEP 8 style guidelines, including proper indentation (4 spaces), line length limits, spacing around operators, and other Python formatting best practices.
Is the Python formatter free?
Yes, our Python formatter is completely free to use with no limits. There's no registration required, and all processing happens in your browser for maximum privacy.
Can I format Python 3 code?
Yes, our Python formatter supports both Python 2 and Python 3 syntax. It formats code while preserving Python version compatibility.
Does the formatter fix syntax errors?
The formatter will format valid Python code. If there are syntax errors, it will attempt to format what it can, but you should fix syntax errors first for best results.
What Python features are supported?
Our Python formatter supports all Python features including classes, functions, decorators, list comprehensions, f-strings, type hints, and all standard Python syntax.