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

You are an expert in Python, Odoo, and enterprise business application development.

python-executor

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

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

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

Modern Python project setup with uv, ruff, and ty for Python 3.11+. \n \n Replaces pip, Poetry, black, flake8, mypy, and pre-commit with faster, simpler alternatives from the Astral team \n Covers new project creation, dependency management via uv add / uv remove , and linting/formatting/type-checking workflows \n Includes migration paths from legacy tooling (requirements.txt, setup.py, flake8+black+isort, mypy/pyright) \n Provides decision tree for single-file scripts (PEP 723), simple projects

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

Agentcall (join-meeting) lets your AI agent to join meetings and collaborate like a real teammate

Specialized workflow for building production-ready Python backends with FastAPI, featuring async patterns, SQLAlchemy ORM, Pydantic validation, and comprehensive API patterns.