python-testing
[ Featured ]Python testing strategies using pytest, TDD methodology, fixtures, mocking, parametrization, and coverage requirements.
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Python testing strategies using pytest, TDD methodology, fixtures, mocking, parametrization, and coverage requirements.
Pythonic idioms, PEP 8 standards, type hints, and best practices for building robust, efficient, and maintainable Python applications.
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python-playground is a minimal, secure Python interpreter written in Rust for use by AI agents, allowing for isolated testing and experimentation.
python-database-patterns is a skill that utilizes SQLAlchemy 2.0 to implement best practices for database management in Python applications.
self use Python Template
python-cli-typer is a Python library for constructing command-line interfaces using Typer, emphasizing explicit and testable entry points.
Python is a high-level programming language used for backend development, emphasizing security and optimization through advanced patterns and threat modeling.
python-practice is a skill that generates Jupyter notebooks filled with practice challenges and questions on pandas and algorithms.
python-code-reviewer is a skill that provides thorough, constructive reviews of Python code, focusing on readability, clarity, and maintainability, and enforcing best practices and idioms.
python-pro is a senior Python developer skill that masters modern Python 3.11+ and its ecosystem, focusing on production best practices and type-safe code.
python-type-safety is a skill that enables developers to utilize Python's type annotations for enforced documentation and automatic validation by tooling like mypy or pyright.