Part 1: Python Language Deep Dive

Chapter 4: Type Hints, Testing, and Modern Python

Foundational~150 min

Learning Objectives

  • Add type annotations to scientific code using generics, TypeVar, and ParamSpec
  • Implement runtime validation with Pydantic for simulation parameters
  • Write parametrized tests with pytest for numerical code with tolerance checking
  • Profile Python code and identify bottlenecks using cProfile and line_profiler
  • Package scientific code with pyproject.toml and proper dependency management

Sections

Prerequisites

💬 Discussion

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