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Pipe operator

A pipe operator is language-specific syntax that forwards a value or command output to another operation as input, often enabling left-to-right composition.

How 6 Manning books explain it

Statistics Slam Dunk

The R pipe operator passes the result of one expression as an input to a subsequent function call.

How it is used
Organizes sequential dplyr transformations for NBA draft summaries, salary preparation, and correlation-data selection.
How deep it goes
Defines output passing and demonstrates multi-step pipelines with filtering, grouping, ranking, selection, and summarization.
Examples
Uses NBA draft win shares, draft position thresholds, team-season salaries, and continuous-variable correlation data.
What you can do after
Apply it via dplyr to chain data transformations and save the resulting tibble for analysis or visualization.

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The Joy of JavaScript

A syntax that forwards a value through a sequence of operations, commonly used in functional programming languages.

How it is used
Builds declarative, composable function chains whose data moves visibly from an initial value through successive operations.
How deep it goes
Explains left-to-right flow, helper construction, lambdas, and longer chains while treating |> as a future proposal rather than a settled standard.
Examples
Uses string splitting, counting, lambdas, ledger transformations, array operations, and observable processing as pipeline examples.
What you can do after
Apply it to express sequential transformations clearly and compare natural left-to-right pipelines with composition-based alternatives.

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Learn C++ by Example

The pipe operator is the operator used in C++ ranges expressions to compose a range with a view adaptor or transformation.

How it is used
Composes ranges with views and filters so multiple transformations read as a sequence of operations.
How deep it goes
Explains practical syntax and readability benefits, but defers detailed operator and view implementation internals.
Examples
Uses vector values, drop_while output `3 4 5`, and filtering negative numbers from triangle rows.
What you can do after
Apply it via std::views to write readable range pipelines without tracking iterator positions.

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Elixir in Action, Third Edition

The Elixir pipe operator passes the result of an expression to the next function call as that call's first argument.

How it is used
Composes functional transformations while keeping execution order readable from left to right.
How deep it goes
Explains syntax, first-argument placement, multiline use, IEx behavior, and compile-time expansion, but not broader macro implementation.
Examples
Uses model processing, nested Erlang-style calls, and an IEx chain converting -5 before printing it.
What you can do after
Apply it to chain Elixir function calls without temporary variables or manually nested expressions.

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F# in Action: A Revised Edition of Get Programming with F#

The F# pipeline operator (|>) passes the value of its left-hand expression as an argument to the function on its right.

How it is used
Threads values through successive functions to make application logic readable and concise.
How deep it goes
Defines argument placement, chaining, and formatting, but stops short of deeper implementation details.
Examples
Uses arithmetic transformations and a fictional customer email workflow as pipeline examples.
What you can do after
Apply it to replace temporary variables and nested calls with readable single-line or multiline F# pipelines.

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AI Agents and Applications

The pipe operator is syntax that passes the output of one operation to the next operation in a chain.

How it is used
Composes prompts, models, parsers, retrieval steps, and other runnable operations into LangChain workflows.
How deep it goes
Explains sequential chaining, parallel mapping, and processing trade-offs without detailing operator internals.
Examples
Demonstrates chunk summarization by piping a prompt into an LLM and then into StrOutputParser.
What you can do after
Apply it via LangChain Expression Language to build sequential, parallel, mapped, and maintainable processing chains.

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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.