Why use a Function instead of a Script

📰 Medium · Python

Learn why using a function instead of a script in Python can improve code reusability and efficiency, and how to make this transition in your own projects.

intermediate Published 8 May 2026
Action Steps
  1. Identify repetitive code in your scripts that can be turned into functions
  2. Define a function with parameters to replace manual input changes
  3. Use the function to execute the code in a single line, improving efficiency
  4. Import the function in other scripts to promote code reusability
  5. Test and refine the function to ensure it works as expected with different inputs
Who Needs to Know This

Developers and data scientists who work with Python scripts can benefit from using functions to make their code more modular and reusable, which is particularly useful when working in teams or on large projects.

Key Insight

💡 Using functions instead of scripts in Python can significantly improve code reusability and efficiency, especially when working with repetitive tasks or large datasets.

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Improve your Python workflow by turning scripts into functions! Boost code reusability and efficiency with this simple yet powerful technique. #Python #Functions #CodeReusability

Key Takeaways

Learn why using a function instead of a script in Python can improve code reusability and efficiency, and how to make this transition in your own projects.

Full Article

Title: Why use a Function instead of a Script | by Thomas Zucker-Scharff | May, 2026 | Medium

URL Source: https://python.plainenglish.io/why-use-a-function-instead-of-a-script-30be45c24e53?source=rss------python-5

Published Time: 2026-05-08T00:56:37.799Z

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# Why use a Function instead of a Script | by Thomas Zucker-Scharff | May, 2026 | Medium

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# Why use a Function instead of a Script

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(And yes you can use the scripts herein)

I started my Python journey in January of 2025 and since then I have learned several things about Python and Python functions.

More recently, I wrote a basic Python script to create an annotated correlation heatmap for a specified dataset. Some datasets were too large for this. So, I decided to create a script that would take in the column to start at, a column to end at, and the threshold at which you want to start highlighting correlations.

After using the same code several times, changing the start/end/threshold manually, I decided it would be easier to turn the script into a function, so I could easily import it and then execute it in a single line.

I changed the original script into thi
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