Working with Function Parameters
Parameters are the inputs you define for a function, allowing you to pass data into it and make it flexible and reusable. Python offers a rich and powerful system for defining function parameters, giving you precise control over how a function can be called.
Let’s explore the different kinds of parameters you can define.
The Five Parameter Types
A Python function signature can include five different kinds of parameters. They must be defined in this specific order:
- Positional-Only Parameters (
/
) - Positional-or-Keyword Parameters (Standard parameters)
- Default Arguments
- Keyword-Only Parameters (
*
) - Variadic Keyword Parameters (
**kwargs
) - Variadic Positional Parameters (
*args
)
Let’s break them down one by one.
1. Positional-or-Keyword Parameters
These are the most common type of parameters. They can be passed either by their position (order) or by their name (keyword).
Pyground
Create a `greet` function with `name` and `greeting` parameters. Call it once using positional arguments and once using keyword arguments.
Expected Output:
Hello, Alice! Hi, Bob!
Output:
Once you use a keyword argument in a function call, all subsequent arguments must also be keyword arguments.
Putting It All Together
Here is a complex function signature that uses several types of parameters in the correct order.
Pyground
Analyze the following function signature and its call. Identify each type of parameter.
Expected Output:
Processing from input.csv to output.json. Overwriting is enabled. Metadata provided: - author: Alice - timestamp: 2023-10-27
Output:
In the example above:
source
andtarget
are positional-or-keyword parameters.force_overwrite
is a keyword-only parameter with a default value.**metadata
collects any additional keyword arguments.