Data Iteration · Part 2
Series aggregation; percent-change chains; argmax; filter and map with for.
Lesson 14 · Data Iteration · Part 2 — Level II · Guide
August 27, 2026 · Bridge Academy Python Program
Learning goals
- Loop over numerical data series (prices, temperatures, stats) to aggregate. - Build derived series via result.append(transformed_value). - Track running max/min and the position where they occur. - Use a filtering if sparingly (brief preview of Conditional Flow).
This lesson covers PCEP-30-02 objective 2.2.
Preview truncated — download the notebook to see the full lesson.