Understanding Why Python Scripts Close Immediately When Run as Executables on Linux

What will you learn?

In this tutorial, you will delve into the perplexing scenario of executable Python scripts closing immediately upon execution when utilizing pandas to read a text file on Linux. You will uncover the reasons behind this behavior and master effective troubleshooting techniques to resolve the issue seamlessly.

Introduction to Problem and Solution

When executing a Python script that interacts with a text file using pandas on Linux by double-clicking, encountering an instant closure of the console window can be frustrating. This abrupt termination occurs because scripts executed outside a terminal or command-line environment do not retain the window post-execution, making it challenging to observe any outputs or errors.

To address this inconvenience, we will explore strategies to ensure that the terminal remains open after script execution. By implementing these methods, we can monitor outputs and debug information crucial for enhancing our comprehension and resolving potential issues effectively.


import pandas as pd

file_path = 'your_file.txt'  # Update with your file's name
df = pd.read_csv(file_path)

input("Press Enter to exit...")

# Copyright PHD


By incorporating input(“Press Enter to exit…”) in our script, users are prompted to press Enter before closing the terminal window. This simple addition ensures that the console remains open post-execution, allowing us to inspect outputs such as DataFrame contents and capture any error messages for debugging purposes.

This solution facilitates output observation and error detection, enabling a smoother debugging process if discrepancies arise during script execution.

    1. How do I make my Python script executable on Linux? To make your Python script executable:

      • Add #!/usr/bin/env python3 at the beginning of your .py file.
      • Execute chmod +x your_script.py in your terminal.
    2. Can I use this method with libraries other than pandas? Yes, this approach is applicable regardless of the libraries utilized in your Python script.

    3. Is there an alternative way to keep the console window open without modifying my code? Running your script directly from a terminal or command line interface maintains the window post-execution.

    4. Why doesn’t my data display correctly when printed? Validate your data path accuracy and review how you read or process data using pandas.

    5. Do I have to incorporate input() at every end of my scripts now? No, only include input() when necessitating time for viewing outputs/errors outside an IDE or terminal.


By adopting straightforward adjustments like incorporating an input prompt at the conclusion of our scripts, we enhance our capability not only to effortlessly view outputs but also boost debugging efficiency significantly. Attention to minor details such as ensuring proper permissions can streamline development processes when handling databases files with packages like Pandas or other functionalities.

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