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Скачать или смотреть How to Call Python Functions with Unknown Parameters

  • vlogize
  • 2025-10-20
  • 3
How to Call Python Functions with Unknown Parameters
Call Python function passed as parameter without knowing if it takes any parameterspythonfunctionparameter passingoptional parameters
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Описание к видео How to Call Python Functions with Unknown Parameters

Learn how to effectively call Python functions without knowing if they take any parameters using *args and **kwargs.
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This video is based on the question https://stackoverflow.com/q/67812334/ asked by the user 'John Ingram' ( https://stackoverflow.com/u/9521638/ ) and on the answer https://stackoverflow.com/a/67812407/ provided by the user 'M Z' ( https://stackoverflow.com/u/7871685/ ) at 'Stack Overflow' website. Thanks to these great users and Stackexchange community for their contributions.

Visit these links for original content and any more details, such as alternate solutions, latest updates/developments on topic, comments, revision history etc. For example, the original title of the Question was: Call Python function passed as parameter without knowing if it takes any parameters

Also, Content (except music) licensed under CC BY-SA https://meta.stackexchange.com/help/l...
The original Question post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license, and the original Answer post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license.

If anything seems off to you, please feel free to write me at vlogize [AT] gmail [DOT] com.
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The Challenge of Calling Functions in Python

In the world of programming, especially with Python, it's common to encounter situations where you need to call a function. However, you may not always know if that function requires parameters. This uncertainty can lead to confusion and hinder the development process. Fortunately, there's a straightforward solution that allows you to handle this situation elegantly.

In this guide, we'll discuss a way to call functions in Python, whether they need parameters or not, ensuring that your code remains flexible and functional.

Understanding the Problem

Consider the following code snippet that illustrates the issue you're facing:

[[See Video to Reveal this Text or Code Snippet]]

In this example, the doCommand function takes another function as its input along with a parameter to be passed to it. The problem arises when you don't know if the function passed will require a parameter. If it does, your current implementation could lead to an error.

The Solution: Using *args and **kwargs

The preferred method to handle this uncertainty in function parameters is through the use of *args and **kwargs. Let's break these down:

*args: This allows you to pass a variable number of non-keyword arguments to your function. These arguments can be accessed as a tuple inside your function.

**kwargs: This allows you to pass a variable number of keyword arguments to your function. These arguments are accessible as a dictionary in the function.

Here’s how you can rewrite your doCommand function using these concepts:

[[See Video to Reveal this Text or Code Snippet]]

How It Works

Flexible Argument Handling: With this new definition:

You can call doCommand with as many arguments and keyword arguments as necessary.

For example, if the function to be called does not require any parameters, you can simply call doCommand(my_function).

Passing Arguments: If your target function requires parameters, you can pass them without any issue:

Call it like this: doCommand(my_function, arg1, arg2, kwarg1=value1).

Inside doCommand, arg1 and arg2 will go to my_function as positional arguments, and kwarg1=value1 will be passed as keyword arguments.

Practical Usage Example

Let’s see a quick example that demonstrates this concept in action.

[[See Video to Reveal this Text or Code Snippet]]

Conclusion

By utilizing *args and **kwargs, you can create a versatile function that can accommodate both functions that require parameters and those that do not. This approach enhances the flexibility of your code and prevents errors related to parameter mismanagement.

Now that you understand how to manage parameters in Python function calls effectively, you can write cleaner and more robust code in your projects! Happy coding!

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