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Quarterback

As explained in Learn AI-Assisted Python Programming, Second Edition

An American football player responsible primarily for directing the offense and throwing passes.

A quarterback is a football player whose job is primarily to throw the ball. In data analysis, quarterbacks provide a clear group to filter before comparing passing performance. section 2.8.2

Analyze quarterback performance as an input–process–output task:

  • Input: read the NFL offensive statistics CSV file. section 2.8.2
  • Process: keep rows whose position is QB and sum passing yards for each player. section 2.8.2
  • Output: sort the totals from highest to lowest and print the players. section 2.8.2

Ranking passing yards

A resulting ranking lists Patrick Mahomes with 16,132 passing yards, followed by Tom Brady with 15,876 and Aaron Rodgers with 13,852. A revised condition can exclude Tom Brady before printing.

How Learn AI-Assisted Python Programming, Second Edition covers it

How deep it goes
Defines the role, then demonstrates filtering, aggregation, sorting, and conditional exclusion without discussing football strategy.
Examples
Uses NFL offensive statistics, ranked passing-yard totals, and an example excluding Tom Brady.
What it assumes
Starts without requiring football knowledge and teaches the quarterback role before applying the data filter.
What you can do after
Apply it via Python by filtering quarterback records and ranking players by summed passing yards.
How it connects
Connects quarterbacks with American football, CSV files, Python, data processing, and Copilot.

This explainer was generated by Manning's knowledge graph from the text of Learn AI-Assisted Python Programming, Second Edition. The section links point to the parts of the book it draws on.