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Header

A header is the leading record or portion of a structured file or data object that identifies or describes its format, contents, or fields.

How 3 Manning books explain it

Pandas Workout: 200 exercises to make you a stronger data analyst

A header is a file row containing names or other metadata that describe tabular columns.

How it is used
Configures pandas CSV imports by identifying whether column headers exist and where they appear.
How deep it goes
Explains header placement and demonstrates header=0 alongside names, but stops short of broader CSV ambiguity.
Examples
Uses a Chicago weather CSV with header=0, selected columns, replacement names, parsed dates, and a datetime index.
What you can do after
Operate/configure pandas read_csv to load tabular data with correctly interpreted or explicitly assigned column names.

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Learn Haskell by Example

A CSV header is an optional first line whose fields provide titles for the columns of a CSV file.

How it is used
Uses an optional first line to label CSV columns while reading, displaying, filtering, and transforming tabular data.
How deep it goes
Defines the header as column titles and notes format variation, without detailing a complete header-parsing algorithm.
Examples
Shows a cities.csv header and a csview command that displays City and State for matching rows.
What you can do after
Operate csview with --with-header to display CSV column titles alongside filtered and sliced data.

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Tiny Python Projects: Learn coding and testing with puzzles and games

A header is a record at the beginning of a tabular file that names or describes the fields in subsequent records.

How it is used
Uses field names to turn CSV rows into accessible dictionary records for later workout generation.
How deep it goes
Explains reading, trimming, splitting, and pairing headers, while deferring malformed-header and missing-data decisions to error handling.
Examples
Shows exercise and reps headers, Burpees data, Python readline(), split(), zip(), and dictionary construction.
What you can do after
Builds a basic Python CSV reader that maps each row’s values to names taken from the header.

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Related concepts

These guides are generated from the text of Manning books by Manning's knowledge graph and link to the sections they draw on. The full books are available on liveBook and at manning.com.