Christopher Ariza

How generic type specification permits powerful static analysis and runtime validation Christopher Ariza · Follow Published in Towards Data Science · 10 min read · 7 hours ago — Photo by Author As tools for Python type annotations (or hints) have evolved, more complex data structures can be typed, improving maintainability and static analysis. Arrays and DataFrames, as complex containers, have only recently supported complete type annotations in Python. NumPy 1.22 introduced generic specification of