Mastering concurrent.future: Running Multiple Functions with Different Parameters in Python

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When working with concurrent programming in Python, a common challenge arises: how to execute multiple functions that require different parameters simultaneously. Many guides focus on using the same function multiple times with a single parameter. However, if you have unique functions with different parameter requirements, this guide is for you!

The Problem Explained

Let's explore the situation that prompted this discussion. Imagine you have two functions that need to perform separate tasks, each with its own set of parameters. Here's a snippet of the functions in question:

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In this example:

func1 waits for a certain amount of time (defined by para1) before printing para2.

func2 also waits but additionally combines para2 and para3 before printing.

The Solution: Using ThreadPoolExecutor

Step 1: Import Required Libraries

To begin, you need to import the required libraries:

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Step 2: Define Your Functions

You can define your functions as shown below. Each function can have its own parameters and perform a unique task:

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Step 3: Execute Functions Concurrently

Utilize the ThreadPoolExecutor to execute your functions concurrently. Here’s how you do it:

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Step 4: Gather Results

If you need to collect the results after execution, you can loop through the completed futures:

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Complete Example Code

Here’s the complete example incorporating all steps:

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Expected Output

When you run the code, the output will display:

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Conclusion