JSON object
A JSON object is an unordered collection of members, each consisting of a string name paired with a JSON value and represented within curly braces.
Just Use Postgres!
A JSON object is an unordered collection of name-value members represented in the JSON data format.
- How it is used
- Deploys JSON objects to store pizza orders and support database-side filtering, updates, and analysis.
- How deep it goes
- Explains nested structures, json versus jsonb choices, containment queries, targeted updates, and field deletion.
- Examples
- Uses pizza orders, nested toppings, gluten-free filtering, custom-pizza counts, and ingredient updates as concrete examples.
- What you can do after
- Apply it via Postgres SQL to store, filter, update, and remove data within JSON objects.
Acing the CCNA Exam: Volume 2 Advanced Networking and Security
A JSON object is an unordered collection of string-keyed key-value pairs enclosed in curly braces.
- How it is used
- Organizes structured data for network device and interface configurations.
- How deep it goes
- Explains object syntax, nesting, whitespace, and invalid punctuation, but defers full RFC details beyond CCNA scope.
- Examples
- Uses interface records, device and interface configurations, firewall rules, and deliberately invalid network settings.
- What you can do after
- Evaluate JSON objects for valid keys, values, delimiters, nesting, casing, and trailing commas.
Read how Acing the CCNA Exam: Volume 2 Advanced Networking and Security explains JSON object →
Functional Programming in Scala, Second Edition
A JSON object is a JSON value containing comma-separated quoted-string keys paired with values and enclosed in curly braces.
- How it is used
- Represents structured JSON records and supplies a target syntax tree for parser-combinator exercises.
- How deep it goes
- Explains the grammar, data representation, and parser construction, while leaving primitive string and number parsers undefined.
- Examples
- Uses a company record containing strings, a Boolean, numbers, an array, and nested JSON-compatible values.
- What you can do after
- Build it from scratch as a parser that produces JObject values from comma-separated JSON key-value pairs.
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Refactoring to Rust
A JSON object is an unordered collection of name-value pairs enclosed in braces and serialized in JSON syntax.
- How it is used
- Uses JSON objects as compact boundaries between application code and Rust, JavaScript, Python, or WebAssembly functions.
- How deep it goes
- Explains field mapping, Serde derives, parsing errors, and cross-language conversion without developing JSON syntax broadly.
- Examples
- Uses name-value records, a Rust Data struct, a Python aggregation loop, and a WebAssembly search interface.
- What you can do after
- Builds JSON boundaries with serde_json and Serde, then passes structured values across Python, JavaScript, and WebAssembly integrations.
Everyday Data Visualization
An unordered JSON collection of named members enclosed in curly braces, each consisting of a string key and a value.
- How it is used
- Organizes related JSON values under meaningful names so programs can reference or operate on the group more easily.
- How deep it goes
- Explains objects through nested-array examples and readable labels, without detailing parsing, schemas, or implementation internals.
- Examples
- Uses weekday-and-time arrays, named fruit scores, and a nested fruit dataset with title, version, and records.
- What you can do after
- Apply it to label nested data, replace opaque array positions, and group related values under a single name.
Learn Go with Pocket-Sized Projects
A JSON object is an unordered collection of named fields represented as string keys paired with JSON values.
- How it is used
- Represents structured input data in test files and focused request bodies for HTTP API endpoints.
- How deep it goes
- Defines keys, values, nesting, and ordering, then demonstrates Go decoding without covering JSON internals.
- Examples
- Uses nested book records, a simple guess payload, and a Go handler that decodes request bodies.
- What you can do after
- Apply JSON objects through Go structures and json.NewDecoder when sending or reading focused API request data.
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Software Testing with Generative AI
A JSON object is a data structure consisting of name-value pairs enclosed in braces.
- How it is used
- Generates structured sample test data for development and testing tasks.
- How deep it goes
- Defines the basic structure and demonstrates simple objects, while deferring more complex structures.
- Examples
- Uses hotel-room records containing scalar fields, image URLs, prices, and feature arrays.
- What you can do after
- Apply JSON objects to create sample datasets, then verify counts, formats, URLs, and relationships against requirements.
Read how Software Testing with Generative AI explains JSON object →
Related concepts
- name-value pairhas part · A name-value pair is a data association in which an identifying name or key corresponds to a value.
- JSONpart of · JSON is a standardized, language-independent text format for representing structured data using objects, arrays, strings, numbers, Boolean values, and null.
- data structurekind of · A data structure is an organized representation of data and its relationships that supports defined operations for storing, accessing, or modifying it.
- arraypart of · An array is an indexed, ordered collection of elements arranged in one or more dimensions, with elements accessed by position.
- JSON arraycontrasts with · A JSON array is an ordered JSON value containing zero or more JSON values, represented as a comma-separated sequence enclosed in square brackets.
- eventused by · An event is an occurrence, change, or associated record or notification recognized as significant within a system or context.
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