Resolving ModuleNotFoundError in Jupyter Notebook: A Comprehensive Guide

Learn how to troubleshoot and fix the `ModuleNotFoundError` when running Python modules in a Jupyter Notebook. This guide provides effective solutions to ensure your modules are recognized and work seamlessly together.
---

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: `ModuleNotFoundError` in Jupyter Notebook

If anything seems off to you, please feel free to write me at vlogize [AT] gmail [DOT] com.
---
Resolving ModuleNotFoundError in Jupyter Notebook: A Comprehensive Guide

If you've encountered a ModuleNotFoundError while working in a Jupyter Notebook, you're not alone. This often frustrating error can occur due to misconfigurations or incorrect paths to your Python modules. In this guide, we will explore a specific example and discuss effective strategies to resolve this issue without restructuring your files.

Understanding the Problem

In this scenario, we have the following directory structure:

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

Error Message Insight

The exact error message looks like this:

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

Solutions to the ModuleNotFoundError

There are several methods to resolve the import issue while keeping your directory structure intact:

1. Adjusting the PYTHONPATH

You can include your project's top folder, my_directory, in the PYTHONPATH environment variable. Here’s how:

On Windows:

Right-click on 'This PC' and go to 'Properties.'

Click on 'Advanced system settings.'

Click on 'Environment Variables.'

Under 'System variables,' find and edit PYTHONPATH to include the path to my_directory.

On Linux or macOS:

Add the following line to your .bashrc or .bash_profile:

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

2. Set the Current Working Directory

When running your notebook, ensure that your current working directory is set to my_directory. You can achieve this by:

Running your Jupyter Notebook from the command line while in my_directory:

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

3. Configure IDE Project Directory

If you're using an IDE like PyCharm or VSCode:

Set the project directory for your IDE, which often adds it to the PYTHONPATH automatically. For example:

In VSCode, you can define the workspace folder to be your project directory.

Install the package in editable mode:

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

Implementing the Solution

Once you apply any of these methods, you can successfully import your modules in both the notebook and within the modules themselves like this:

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

This change ensures seamless imports across different files without any errors.

Conclusion

By following the steps outlined in this guide, you can eliminate the ModuleNotFoundError in your Jupyter Notebook. Understanding the environment and paths can significantly enhance your productivity and reduce frustration while coding in Python. Now, you can proceed with confidence, knowing that your modules are set up correctly!

If you have any further questions or need assistance, feel free to leave a comment below!