Csv
The csv module is Python’s standard-library module for reading and writing comma-separated and other delimiter-separated tabular data.
The Quick Python Book, Fourth Edition
CSV is a Python library for reading and writing tabular data in comma-separated and other delimited formats.
- How it is used
- Handles CSV and other delimited files during data-processing workflows.
- How deep it goes
- Works through readers, writers, and dictionary output with file examples, without examining module internals.
- Examples
- Uses pipe-delimited temperature rows, quoted date fields, and an Illinois weather extraction exercise.
- What you can do after
- Apply it via Python’s csv.reader, csv.writer, and csv.DictWriter to parse and export delimited records.
Read how The Quick Python Book, Fourth Edition explains csv →
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.
- How it is used
- Uses CSV files as a practical source of tabular data for filtering and aggregation.
- 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 you can do after
- Apply it via Python’s standard library to read CSV rows and process tabular records.
Read how Learn AI-Assisted Python Programming, Second Edition explains csv →
Python Workout: 50 ten-minute exercises
The Python standard-library module that provides functionality for reading and writing comma-separated values and related delimited records.
- How it is used
- Handles reading and writing CSV, TAB-delimited, and other delimited text records.
- How deep it goes
- Explains row writing and a field-selection exercise, while deferring advanced format variation to pandas.
- Examples
- Uses vegetable records, writer rows, and passwd-to-TAB conversion as concrete examples.
- What you can do after
- Build it from scratch by selecting fields, choosing delimiters, and writing structured records to CSV files.
Read how Python Workout: 50 ten-minute exercises explains csv →
Python Workout, Second Edition
The csv module is Python's standard-library module for reading and writing comma-separated and other delimiter-separated tabular data.
- How it is used
- Handles reading and writing delimiter-separated text files, especially tabular data, logs, and configuration-like records.
- How deep it goes
- Explains delimiters, readers, writers, linewise processing, and a passwd transformation while stopping short of deeper parser internals.
- Examples
- Uses vegetable records, writer rows, and Unix passwd records transformed into tab-separated username and user-ID output.
- What you can do after
- Apply it via Python’s csv module to transform delimiter-separated files into selected output fields.
Related concepts
- CSVuses · CSV is a plain-text format for tabular data, representing records as rows and fields as values separated by delimiters, conventionally commas, with quoting conventions for special content.
- SQLitealternative to · SQLite is a self-contained, serverless relational database engine implemented as a software library that stores and queries databases in files or memory.
- standard librarypart of · A standard library is a collection of reusable modules, types, functions, APIs, and other facilities distributed with a programming language implementation or platform.
- DictReaderhas part · DictReader is a Python csv-module reader that represents each input row as a mapping from field names to values.
- delimited fileuses · A delimited file is a text file whose fields are separated by a specified delimiter character or sequence.
- pickle formatcontrasts with · The pickle format is Python’s serialization format for encoding Python objects so they can be stored and later loaded.
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