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Csv

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

The csv module is Python's standard-library module for reading and writing comma-separated and other delimiter-separated tabular data.

Python’s csv module simplifies reading CSV files by turning each record into a row of columns, avoiding manual line splitting. section 5.1.4

Summing NFL passing yards

Import csv, open the file with with, and convert its contents with data = list(csv.reader(f)). Loop through each row, select quarterbacks, and add row[7] to a dictionary keyed by player name. Compared with line.split(','), this approach is easier to read and lets the module handle CSV structure. section 5.1.4

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

How deep it goes
Explains importing csv, reading rows, and contrasting module use with manual splitting; it stops short of implementation internals.
Examples
Demonstrates reading NFL offensive statistics and totaling passing yards for quarterbacks.
What it assumes
Assumes basic file reading, loops, dictionaries, indexing, and integer conversion while introducing csv as a built-in module.
What you can do after
Apply it via Python’s standard library to read CSV rows and process tabular records.
How it connects
Connects CSV processing with files, modules, loops, dictionaries, and type conversion.

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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.