python-patterns

Topics in the source

• Python Development Patterns
• When to Activate
• Core Principles
• 1. Readability Counts
• 2. Explicit is Better Than Implicit
• 3. EAFP - Easier to Ask Forgiveness Than Permission
• Type Hints
• Basic Type Annotations

Idiomatic Python patterns and best practices for building robust, efficient, and maintainable applications. Writing new Python code Reviewing Python code Refactoring existing Python code Designing Python packages/modules Python prioritizes readability. Code should be obvious and easy to understand. Avoid magic; be clear about what your code does. Python prefers exception handling over checking conditions. | Idiom | Description | |-------|-------------| | EAFP | Easier to Ask Forgiveness than Permission | | Context managers | Use with for resource management | | List comprehensions | For simple transformations | | Generators | For lazy evaluation and large datasets | | Type hints | Annotate function signatures | | Dataclasses | For data containers with auto-generated methods | | slots | For memory optimization | | f-strings | For string formatting (Python 3.6+) | | pathlib.Path | For path operations (Python 3.4+) | | enumerate | For index-element pairs in loops | Remember: Python code should be readable, explicit, and follow the principle of least surprise. When in doubt, prioritize clarity over cleverness.