Jupyter (Notebook or Lab) IPYNB "Not Trust" - Python

Jupyter is a popular platform for creating and sharing interactive notebooks in various programming languages, including Python. However, one issue that can arise is the "not trusted" warning that appears when opening a new notebook. This warning message indicates that the notebook came from an untrusted source, and therefore it may be unsafe to run the code contained within.

Causes of "Not Trust" Warning

The "not trust" warning in Jupyter can be caused by various factors, such as:

• The notebook was downloaded from an untrusted source or repository.
• The notebook was created by an unknown or untrusted user.
• The notebook contains code or content that could potentially harm your computer or network.

Ways to address "Not Trust" Warning

If you encounter a "not trust" warning in Jupyter, here are some ways to address it:

1. Check Notebook Source and User

Before opening a new notebook, make sure to check the source and user. If you are downloading a notebook from the web, verify that the source is trustworthy and that the user who created the notebook is reputable. Avoid downloading notebooks from unknown or suspicious sources, and be cautious of notebooks that contain unusual or suspicious content.

2. Check Notebook Contents

Another way to address the "not trust" warning is to check the contents of the notebook before running any code. Look for any suspicious or unfamiliar code or content, and make sure that you understand what the code does and how it could impact your computer or network. If in doubt, err on the side of caution and do not run the code.

3. Enable Trust for the Notebook

If you are sure that the notebook is from a trusted source and that the content is safe, you can enable trust for the notebook. This will prevent the "not trust" warning from appearing when you open the notebook.

To enable trust for a notebook in Jupyter, open the notebook and click on "File" on the top menu bar. Then, click on "Trust Notebook" in the drop-down menu. This will enable trust for the notebook, and the "not trust" warning will no longer appear when you open the notebook.

Conclusion

The "not trust" warning in Jupyter can be a useful safety feature to protect your computer and network from potentially harmful code or content. However, it can also be an inconvenience if you are trying to open a trustworthy notebook. By following the above steps, you can verify the source and contents of a notebook, and enable trust if necessary, to ensure that you can run your notebooks safely and efficiently in Jupyter.