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**kwargs

**kwargs is Python function-parameter syntax that collects arbitrary keyword arguments into a dictionary keyed by their names.

How 3 Manning books explain it

Python How-To

kwargs is the conventional parameter name for a dictionary that collects variable-length keyword arguments passed to a Python function.

How it is used
Collects a variable number of keyword arguments in a function, including optional settings and decorator-wrapper calls.
How deep it goes
Explains dictionary packing, parameter placement, iteration, defaults, and the clarity trade-off; does not descend into interpreter internals.
Examples
Uses a grade-report function, optional calculation settings, and a decorator that fails when its wrapper accepts no arguments.
What you can do after
Build it from scratch in Python functions to collect optional keywords, read defaults, and write wrappers compatible with differing calling signatures.

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Python Workout: 50 ten-minute exercises

Python function-parameter syntax that collects an arbitrary number of keyword arguments into a dictionary.

How it is used
Collects flexible named options for formatted output, dynamic dispatch, and constrained object queries.
How deep it goes
Explains dictionary creation and iteration through complete XML code, then applies the pattern to dispatch and filtering.
Examples
Uses XML-like tag generation, menu dispatch, and an Animal-query method accepting color and legs.
What you can do after
Build flexible Python functions that format, inspect, or dispatch arbitrary named arguments.

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The Well-Grounded Python Developer: How the pros use Python and Flask

A variadic keyword parameter is a function parameter that collects an arbitrary number of keyword arguments into a mapping.

How it is used
Uses a flexible keyword collection when functions need to receive, inspect, or forward varying named data.
How deep it goes
Defines the collection and lookup behavior, then cautions that undocumented keys and intentional forwarding require care.
Examples
Uses full_name to inspect fname, mname, and lname while contrasting flexible collection with explicitly named parameters.
What you can do after
Apply it via Python function definitions to collect, inspect, ignore, or forward arbitrary keyword arguments deliberately.

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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.