Python Formatter

Python Formatter - Format and Beautify Python Online

A powerful online Python formatter and beautifier tool that helps you format, beautify, and minify Python code. Features syntax highlighting, PEP 8 style support, and customizable indentation. Perfect for Python developers and data scientists.

What is Python?

Python is a high-level, interpreted programming language known for its simplicity and readability. Python is used for:

- Web development (Django, Flask, FastAPI)
- Data science and machine learning (NumPy, Pandas, TensorFlow)
- Automation and scripting
- Scientific computing
- Artificial intelligence
- Desktop applications
- Game development
- Network programming

Python's clean syntax and extensive libraries make it one of the most popular programming languages. It emphasizes code readability with significant whitespace (indentation determines code blocks).

What is PEP 8?

PEP 8 is Python's official style guide. Key PEP 8 recommendations:

- Use 4 spaces for indentation (not tabs)
- Limit lines to 79 characters
- Use blank lines to separate functions and classes
- Use blank lines sparingly inside functions
- Put imports at the top of file
- Use spaces around operators
- Use lowercase with underscores for functions (snake_case)
- Use CamelCase for class names

Example with PEP 8:
def my_function():
result = calculate_value()
return result


class MyClass:
def __init__(self):
self.value = 0

Following PEP 8 makes Python code more readable and consistent across projects.

Why is indentation critical in Python?

Unlike most languages that use braces {}, Python uses indentation to define code blocks:

Correct indentation:
if condition:
do_something()
do_another()
else:
do_different()

Incorrect indentation (syntax error):
if condition:
do_something()
do_another()

Python rules:
- Indentation defines code structure
- All lines in same block must have same indentation
- Use spaces only (PEP 8 recommends 4 spaces)
- Mixing tabs and spaces causes errors

This formatter ensures consistent indentation throughout your Python code.

Should I minify Python code?

Generally, you should NOT minify Python code:

Why minification is problematic:
- Indentation is semantically significant
- Removing whitespace can break code
- Python isn't served to browsers
- Makes debugging impossible
- Reduces readability severely

The 'minify' function here only:
- Removes blank lines
- Removes comments
- Keeps necessary indentation

For Python performance:
- Use bytecode compilation (.pyc files)
- Use PyPy or Cython for speed
- Optimize algorithms, not whitespace
- Focus on code efficiency

Keep Python code readable. Unlike web assets, Python runs on your server where file size doesn't affect user experience.

Is my Python code safe?

Yes, your code is completely safe and private. This tool:

- Processes all Python entirely in your browser
- Does not send any data to our servers
- Does not execute your Python code
- Works offline once loaded

Your Python code never leaves your computer.

Key Features

• Format Python with customizable indentation (2, 4, or 8 spaces)
• PEP 8 style support for Python coding standards
• Minify Python (removes comments and blank lines)
• Syntax highlighting for keywords, built-ins, decorators, strings
• Real-time statistics
• Copy/Download/Upload support
• Dark mode
• 100% client-side
• Mobile-friendly