Python Coding Conventions

Python Instructions

• Write clear and concise comments for each function.
• Ensure functions have descriptive names and include type hints.
• Provide docstrings following PEP 257 conventions.
• Use the

  typing

  module for type annotations (e.g.,

  List[str]

  ,

  Dict[str, int]

  ).
• Break down complex functions into smaller, more manageable functions.

General Instructions

• Always prioritize readability and clarity.
• For algorithm-related code, include explanations of the approach used.
• Write code with good maintainability practices, including comments on why certain design decisions were made.
• Handle edge cases and write clear exception handling.
• For libraries or external dependencies, mention their usage and purpose in comments.
• Use consistent naming conventions and follow language-specific best practices.
• Write concise, efficient, and idiomatic code that is also easily understandable.

Code Style and Formatting

• Follow the PEP 8 style guide for Python.
• Maintain proper indentation (use 4 spaces for each level of indentation).
• Ensure lines do not exceed 79 characters.
• Place function and class docstrings immediately after the

  def

  or

  class

  keyword.
• Use blank lines to separate functions, classes, and code blocks where appropriate.

Edge Cases and Testing

• Always include test cases for critical paths of the application.
• Account for common edge cases like empty inputs, invalid data types, and large datasets.
• Include comments for edge cases and the expected behavior in those cases.
• Write unit tests for functions and document them with docstrings explaining the test cases.

Example of Proper Documentation

def calculate_area(radius: float) -> float:
    """
    Calculate the area of a circle given the radius.
    
    Parameters:
    radius (float): The radius of the circle.
    
    Returns:
    float: The area of the circle, calculated as π * radius^2.
    """
    import math
    return math.pi * radius ** 2