Architecting the Zero-Dependency Toolset
To build a high-performance system without relying on external frameworks, we must master the native tools Python provides for structural integrity. In this section, we move beyond basic syntax to explore the core mechanics that allow us to build a robust, type-safe, and memory-efficient pipeline using nothing but the standard library.
Type Hints: Structural Contracts in Pure Python
Type hints are a formal syntax introduced in Python 3.5 that allow you to annotate your code with expected data types. Because Python is a dynamically typed language, the Python runtime does not enforce these type annotations; your code will still execute normally even if a mismatched data type is provided. Instead, type hints are designed to improve code readability, optimize IDE autocompletion, and allow static type checkers like mypy to catch bugs before production.
Why Querybase Needs Type Hints
