Functions in Python
Functions are the building blocks of reusable code. In AI engineering, you'll write functions for data preprocessing, feature extraction, model inference, and result formatting. Clean function design makes your code testable and maintainable.
List Comprehensions
List comprehensions are a concise way to create lists from existing iterables. They're faster than equivalent for-loops and are heavily used in data processing pipelines.
In production AI code, list comprehensions are preferred for simple transformations. For complex logic, use regular loops or generator expressions to maintain readability.
Key Takeaway
Functions + list comprehensions are the core patterns for data transformation in AI pipelines.