🐍 Advanced Python Coding Standards

Python's advanced coding standards go beyond basic PEP 8 compliance to optimize readability, performance, and maintainability. Here are key principles:

📌 PEP 8 Compliance & Beyond

• Whitespace: Use 2 spaces for indentation, not tabs.

  def example():  
      print("Indentation is key!")  
  

  

  Python_Indentation
• Line Length: Limit lines to 79 characters (72 for comments).
• Naming Conventions:
  • Classes: CamelCase (e.g., class MyModel)
  • Variables/Functions: snake_case (e.g., result = calculate_sum())
  • Constants: UPPER_SNAKE_CASE (e.g., MAX_RETRIES = 5)

🧠 Advanced Practices

• Avoid __init__ Overhead: Use __post_init__ for post-initialization logic in data classes.
• Type Hints: Leverage typing module for clear type annotations.

  from typing import List, Optional  
  def process_data(items: List[str], verbose: Optional[bool] = False) -> None:  
      ...  
  

• Context Managers: Use with for resource management (e.g., files, network connections).

  with open("file.txt", "r") as f:  
      content = f.read()  
  

🛠️ Tools & Linting

• Black: Auto-formats code to PEP 8 standards.
• Flake8: Combines PyFlakes, pycodestyle, and McCabe for comprehensive checks.
• MyPy: Static type checker for enforcing type hints.

📘 Expand Your Knowledge

For deeper insights into Pythonic practices, check out our guide on Python Best Practices.

📝 Final Tips

• 🚫 Avoid import * for clarity.
• ✅ Use __slots__ in classes to reduce memory overhead.
• 🔄 Prioritize "Pythonic" solutions over overly clever ones.

Python_Code_Structure