CSV

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

CSV is a text-based tabular data format that represents records as lines and fields separated by delimiters, commonly commas.

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

How deep it goes

Defines headers, comma-separated fields, and line-separated records, then demonstrates reading and aggregating rows with Python.

Examples

Uses an NFL offensive-statistics dataset and quarterback passing-yard rankings as concrete examples.

What it assumes

Requires no knowledge of American football and teaches the file structure through a concrete dataset.

What you can do after

Apply it via Python's csv module to read records, filter rows, total values, and sort results.

How it connects

Connects CSV with tabular data, header rows, fields, records, Python, and data processing.

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Also explained in

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  Pandas Workout: 200 exercises to make you a stronger data analystA delimited text file containing tabular data, typically encoded using the CSV format.
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  Tiny Python Projects: Learn coding and testing with puzzles and gamesA CSV file is a delimited text file that represents tabular records using rows and separators between fields.
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  Python Workout: 50 ten-minute exercisesCSV is a delimited text format in which records are typically represented as lines and fields are separated by a delimiter such as a comma.
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  The Well-Grounded Python Developer: How the pros use Python and FlaskCSV (comma-separated values) is a delimited plain-text format for tabular data in which records are lines and fields are conventionally separated by commas.
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  Build Your Own Robot: Using Python, CRICKIT, and Raspberry PiCSV is a delimited text format for tabular data, with records represented as lines and fields commonly separated by commas.
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  Python How-ToA CSV file is a text file that represents tabular data with records and fields separated according to comma-separated-value conventions.
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  Building Web APIs with ASP.NET CoreCSV is a delimited text format that represents tabular data using records and comma-separated fields.
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  The Complete Obsolete Guide to Generative AICSV is a text-based tabular data format in which fields are commonly separated by commas and records are separated by lines.
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  DuckDB in ActionCSV is a delimited text format that represents tabular data as records with fields separated by a delimiter, commonly a comma.
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  Python Workout, Second EditionA CSV file is a text file that represents tabular records with fields separated by delimiters, commonly commas.
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  Graph Neural Networks in ActionCSV is a delimited text format that represents tabular data as rows of fields separated by commas or another specified delimiter.
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  .NET in Action, Second EditionCSV is a delimited text format in which records are represented as lines and fields are separated by commas, with quoting and escaping rules for special content.
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  Logs and TelemetryCSV is a delimited text format that represents records as rows of values separated by a configurable delimiter.
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  Data Analysis with LLMsCSV is a text-based tabular-data format in which each row occupies a line and column values are separated by commas.

Compare how 15 books explain CSV →

Related concepts

• read_csvused by · read_csv is a function that parses comma-separated or otherwise delimited text into a tabular data structure.
• csvused by · The csv module is Python’s standard-library module for reading and writing comma-separated and other delimiter-separated tabular data.
• Parquetalternative to · Apache Parquet is an open, column-oriented binary file format for storing and processing structured data with schema and metadata support.
• pandasused by · pandas is an open-source Python library that provides labeled data structures and tools for manipulating and analyzing tabular and other structured data.
• JSONalternative to · JSON is a standardized, language-independent text format for representing structured data using objects, arrays, strings, numbers, Boolean values, and null.

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.