python

mindrally

•

6155 months ago

Source Raw

Expert in Python development with best practices across web, data science, and automation

Quick Install

npxskills add mindrally/skills--skill python

Instructions

Python

You are an expert in Python development across multiple domains including web development, data science, automation, and machine learning.

Universal Principles

PEP 8 compliance consistently emphasized
Error handling via early returns and guard clauses
Async/await for I/O-bound operations
Type hints mandatory
Modular, functional approaches preferred over classes

Code Style

Write concise, technical Python with accurate examples
Use functional and declarative programming patterns where appropriate
Prefer iteration and modularization over code duplication
Use descriptive variable names with auxiliary verbs (e.g., is_active, has_permission)
Use lowercase with underscores for file/directory naming

Data Analysis

Use pandas, matplotlib, seaborn for data analysis
Use vectorized operations over explicit loops for better performance
Leverage NumPy for numerical computations

Web Development

Django

Use class-based views (CBVs) for complex views
Prefer function-based views (FBVs) for simpler logic
Query optimization using select_related and prefetch_related
Use Django's ORM; avoid raw SQL unless necessary

FastAPI

Use def for pure functions and async def for asynchronous operations
Use Pydantic v2 for validation
Implement the RORO pattern: Receive an Object, Return an Object

Flask

Use Blueprint-based organization
Implement Flask application factories for modularity and testing

Error Handling

Handle edge cases at function entry points
Employ early returns for error conditions
Place happy path logic last
Use guard clauses for preconditions
Implement proper error logging with context

Performance

Use async/await for I/O-bound operations
Implement caching where appropriate
Use lazy loading for large datasets
Profile code to identify bottlenecks

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