Conditional statements are essential for control flow in Python, guiding decision-making in scripts, models, pipelines, and logic-driven programs.
Python evaluates certain values as False in conditionals, with everything else considered True.
Use cases in AI and ML workflows include iterating over training epochs, looping through data batches, applying transformations to inputs, and evaluating models over multiple runs.
Common control flow elements like while loops, break and continue statements, enumerate(), zip(), and generator expressions are important tools for AI engineers in managing iterations, conditions, and data processing.