python▌

Python 3.12+ development with FastAPI, Django, async patterns, and production tooling. \n \n Covers modern project structure, type hints with generics, and async/await patterns for I/O-bound operations \n Includes FastAPI patterns for building APIs with dependency injection, Pydantic models, and async request handlers \n Demonstrates testing strategies using pytest, async test fixtures, and mocking for async functions \n Recommends ruff for linting, mypy in strict mode, and pathlib for file oper

python-executor

Type-safe, async-first Python 3.11+ code generation with strict validation and comprehensive testing. \n \n Generates fully type-annotated code with mypy strict mode validation, dataclasses, and modern Python patterns (3.10+ union syntax, async/await) \n Includes pytest test suite generation with fixtures, parametrization, and mocking; enforces >90% code coverage \n Validates output with black formatting and ruff linting; provides structured error handling and logging configuration \n Covers asy

A comprehensive guide to using CCXT in Python projects for cryptocurrency exchange integration.

Comprehensive testing strategies for Python using pytest, fixtures, mocking, and test-driven development. \n \n Covers unit, integration, functional, and performance testing with the AAA pattern (Arrange, Act, Assert) for test structure \n Includes 10 fundamental and advanced patterns: basic tests, fixtures with setup/teardown, parameterization, mocking, exception handling, async testing, monkeypatching, temporary files, custom fixtures, and property-based testing \n Provides test design princip

Type-first Python development using dataclasses, discriminated unions, NewType, and Protocol to make illegal states unrepresentable. \n \n Define data models and function signatures before implementation; use frozen dataclasses, Literal-based discriminated unions, and NewType for domain primitives to prevent invalid states at type-check time \n Leverage Protocol for structural typing, TypedDict for external data shapes, and exhaustive pattern matching with match statements to catch incomplete lo

Clear module boundaries, explicit public interfaces, and maintainable directory layouts for Python projects. \n \n Define public APIs with __all__ in every module; unlisted members remain internal implementation details \n Prefer flat directory structures with minimal nesting; add sub-packages only for genuine sub-domains \n Organize by architectural layers (API, services, repositories, models) or business domains depending on project complexity \n Keep files focused on a single concept; conside

Comprehensive guide to asyncio, concurrent patterns, and async/await for building high-performance, non-blocking Python applications. \n \n Covers core concepts (event loops, coroutines, tasks, futures) and 10+ fundamental and advanced patterns including concurrent execution, error handling, timeouts, context managers, and producer-consumer workflows \n Includes real-world examples for web scraping with aiohttp, async database operations, and WebSocket servers \n Provides performance best practi

Python library for working with geospatial vector data including shapefiles, GeoJSON, and GeoPackage files.

Comprehensive guidance for implementing asynchronous Python applications using asyncio, concurrent programming patterns, and async/await for building high-performance, non-blocking systems.