Column
A column is a vertical sequence or field in a tabular, grid, or matrix structure whose elements share a common position, attribute, or role.
Learn SQL in a Month of Lunches
A column is a vertical set of table fields in which each position represents the same attribute across rows.
- How it is used
- Organizes table attributes for querying, inserting, updating, and designing relational data.
- How deep it goes
- Defines vertical attributes through spreadsheet examples, then gives practical naming, missing-value, update, and addition considerations without storage internals.
- Examples
- Uses fictional book and vegetable tables, a middle-name field, category columns, and SELECT Name FROM vegetables.
- What you can do after
- Apply it via MySQL Workbench to select a named column and interpret returned values.
Pandas Workout: 200 exercises to make you a stronger data analyst
A column is a labeled vertical sequence of values in a pandas data frame, represented as a Series.
- How it is used
- Organizes one attribute per data-frame column and supports selecting, calculating, and extending tabular records.
- How deep it goes
- Defines columns as Series with shared indexes, then works through assignment and assign without covering deeper implementation internals.
- Examples
- Uses country attributes and a tax-planning exercise with current-net and after-tax columns.
- What you can do after
- Apply it via pandas to select columns and create derived values with assignment or assign.
Read how Pandas Workout: 200 exercises to make you a stronger data analyst explains column →
Build Python Web Apps with Streamlit
A database column is a named field in a table that stores one attribute of each row according to a defined data type.
- How it is used
- Structures persistent relational data by defining the attributes stored in each table row.
- How deep it goes
- Explains column names, data types, length limits, primary keys, and foreign keys through worked PostgreSQL table definitions.
- Examples
- Uses username, password_hash, author, text, created_at, and haiku_id in users and haikus table definitions.
- What you can do after
- Apply it via SQL by defining typed columns and constraints in CREATE TABLE statements.
Read how Build Python Web Apps with Streamlit explains column →
Grokking Relational Database Design
A column is a named field in a relational table whose values share a defined meaning and data type.
- How it is used
- Maps an entity’s attribute to a named field in a relational table.
- How deep it goes
- Defines names, data types, NULL handling, keys, and basic alteration, but defers deeper primary-key discussion.
- Examples
- Uses product_id, name, description, price, manufacturer, and serial_number in product-table SQL examples.
- What you can do after
- Build it from scratch by defining typed columns and constraints in CREATE TABLE, then revise them with ALTER TABLE.
Read how Grokking Relational Database Design explains column →
Learn PowerShell Scripting in a Month of Lunches, Second Edition: Write and organize scripts and tools
A column is a table field that defines one attribute of each record and holds values of a corresponding type.
- How it is used
- Structures database tables so PowerShell-generated records can be stored and queried consistently.
- How deep it goes
- Defines columns through table structure, field purpose, and SQL types, without covering query design or reporting implementation.
- Examples
- Uses disk inventory fields for computer name, disk size, drive type, free space, drive ID, and addition date.
- What you can do after
- Build it from scratch by translating PowerShell object properties into typed SQL table fields.
The Quick Python Book, Fourth Edition
Column is a SQLAlchemy schema construct describing a column in a relational database table, including its name and data type.
- How it is used
- Defines relational table fields for SQLAlchemy Core and ORM database mappings.
- How deep it goes
- Specifies names, data types, and a primary-key option, then stops short of implementation internals.
- Examples
- Uses a people table with id, name, and count columns, then inserts, queries, updates, and deletes rows.
- What you can do after
- Build it from scratch by declaring typed fields and creating their table through MetaData and an engine.
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Web Design Playground
A vertical division of a layout used to organize content side by side across a page or table-like structure.
- How it is used
- Organizes page content vertically inside flexbox layouts, including portfolio structures and highlighted pricing-table options.
- How deep it goes
- Defines column through flexbox axes and direction values, then demonstrates nested containers and reversed ordering.
- Examples
- Uses pricing tables, nested portfolio containers, and div elements whose order changes with flex-direction.
- What you can do after
- Apply it via CSS by setting flex-direction: column or column-reverse on a flex container.
Everyday Data Visualization
A column is a vertical field in a table containing values for one attribute across rows.
- How it is used
- Structures tabular data for analysis, visualization, and business-intelligence work.
- How deep it goes
- Defines columns and connects them to dimensions and measures, while emphasizing grain rather than implementation internals.
- Examples
- Uses a fruit-tasting table and banking tables organized by transactions, days, or accounts.
- What you can do after
- Apply columns to read tables, identify attributes, and interpret rows at the correct grain.
The Well-Grounded Python Developer: How the pros use Python and Flask
A named field in a relational database table whose cells contain values of a defined or compatible type.
- How it is used
- Defines table fields, their data types, and key roles for storing and relating records.
- How deep it goes
- Explains columns through table structure, ERD notation, key constraints, and SQLAlchemy declarations, but not database engine internals.
- Examples
- Uses Customer, Order, Address, Product, and Item models with typed columns, primary keys, foreign keys, and a composite key.
- What you can do after
- Build database models by assigning names, types, primary keys, and foreign-key references to columns.
Read how The Well-Grounded Python Developer: How the pros use Python and Flask explains column →
Related concepts
- SQLused by · SQL is a standardized declarative language for defining, querying, and manipulating data in relational database systems.
- database tablepart of · A database table is a relational database structure that organizes records into rows and defined columns.
- data framepart of · A data frame is a two-dimensional tabular data structure with labeled rows and columns that can contain values of different types.
- datasetpart of · A dataset is an organized collection of related data items, records, or observations treated as a unit for storage, processing, analysis, or computation.
- schemapart of · A data schema is a formal specification of the structure, fields, types, relationships, and constraints of data.
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