Python Formatter

Format and beautify Python code following PEP 8 standards with proper indentation. Perfect for Python developers, data scientists, and machine learning engineers.

About Python Formatter

Python is one of the most popular programming languages, widely used for web development, data science, machine learning, and automation. Our Python Formatter helps developers maintain clean, readable code by following PEP 8, the official Python style guide.

Key Features

  • ✓PEP 8 Compliance: Format code following official Python style guide
  • ✓Indentation Management: Proper 4-space indentation (PEP 8 standard)
  • ✓Block Structure: Correctly format if/else, loops, functions, and classes
  • ✓Comment Handling: Preserve and format comments properly
  • ✓Version Detection: Identify Python 2 vs Python 3 syntax
  • ✓Statistics: View functions, classes, imports, and size metrics

PEP 8 Style Guide Highlights

Indentation

Use 4 spaces per indentation level. Never mix tabs and spaces. Python 3 disallows mixing tabs and spaces.

def calculate_sum(a, b): result = a + b return result

Line Length

Limit all lines to a maximum of 79 characters for code, 72 for docstrings/comments.

Blank Lines

Two blank lines before top-level functions and classes. One blank line between methods inside a class.

class MyClass: def method_one(self): pass def method_two(self): pass

Imports

Imports should be on separate lines at the top of the file. Order: standard library, third-party, local.

import os import sys from datetime import datetime

Naming Conventions

Functions and variables: lowercase_with_underscores. Classes: CapitalizedWords. Constants: ALL_CAPS.

MAX_CONNECTIONS = 100 class DatabaseManager: def connect_to_database(self): pass

Python Best Practices

  • Use 4 Spaces: Never use tabs. Configure your editor to insert spaces
  • Meaningful Names: Use descriptive variable and function names
  • Docstrings: Document functions, classes, and modules with triple-quoted strings
  • List Comprehensions: Use them when they improve readability
  • Type Hints: Add type annotations for better code clarity (Python 3.5+)
  • Virtual Environments: Use venv or virtualenv for project isolation
  • Exception Handling: Use specific exceptions rather than bare except clauses

Use Cases

Web Development

Format Django, Flask, or FastAPI code for cleaner web applications

Data Science

Clean up Jupyter notebook code and data analysis scripts

Machine Learning

Format TensorFlow, PyTorch, and scikit-learn model code

Automation Scripts

Beautify Python automation and DevOps scripts

Popular Python Frameworks & Libraries

✓Django
✓Flask
✓FastAPI
✓NumPy
✓Pandas
✓TensorFlow
✓PyTorch
✓Requests

Frequently Asked Questions

Why is indentation so important in Python?

Unlike other languages that use curly braces, Python uses indentation to define code blocks. Incorrect indentation will cause syntax errors. Always use 4 spaces per level as recommended by PEP 8.

Should I use tabs or spaces?

Always use spaces. PEP 8 recommends 4 spaces per indentation level. Python 3 explicitly disallows mixing tabs and spaces. Configure your editor to insert spaces when you press Tab.

Does this work with Python 2 and Python 3?

Yes, the formatter works with both Python 2 and Python 3 code. However, Python 2 reached end-of-life in 2020, so we recommend migrating to Python 3 for new projects.

Is my Python code secure?

Absolutely. All formatting happens entirely in your browser. Your Python code is never uploaded to any server, ensuring complete privacy and security.

Can I use this for Jupyter notebooks?

Yes! Copy code from Jupyter notebook cells, format it here, then paste it back. This is great for cleaning up messy notebook code before committing to version control.