Скачать или смотреть Troubleshooting Jupyter Notebook: Stuck on In [*]

Disclaimer/Disclosure: Some of the content was synthetically produced using various Generative AI (artificial intelligence) tools; so, there may be inaccuracies or misleading information present in the video. Please consider this before relying on the content to make any decisions or take any actions etc. If you still have any concerns, please feel free to write them in a comment. Thank you.
---

Summary: Learn how to troubleshoot and resolve the issue of Jupyter Notebook being stuck on "In [*]" when running code. Explore common causes and solutions to keep your Python environment running smoothly.
---

Troubleshooting Jupyter Notebook: Stuck on In [*]

Jupyter Notebook is a popular tool among data scientists and developers for creating and sharing live code, equations, visualizations, and narrative text. However, users may encounter the frustrating issue of being stuck on "In [*]" when trying to run code in a Jupyter Notebook cell. In this guide, we'll explore common causes and provide solutions to resolve this problem.

Check Kernel Connection

The kernel is the computational engine that executes the code contained in a notebook. A disconnection between the Jupyter Notebook and the kernel can lead to the "In [*]" status. To troubleshoot:

Restart the Kernel: Click on the "Kernel" menu and select "Restart" to restart the kernel.

Reconnect Kernel: If restarting doesn't work, try reconnecting to the kernel using the "Kernel" menu's "Reconnect" option.

Check for Infinite Loops or Blocking Code

If your code contains an infinite loop or is blocked for some reason, the cell will not complete execution, causing the "In [*]" status. To identify and fix this issue:

Review Your Code: Inspect your code for infinite loops or sections that might be blocking the execution.

Interrupt the Kernel: Use the "Kernel" menu and select "Interrupt" to stop the execution if it's stuck.

Check for Resource Usage

Heavy resource usage can also lead to Jupyter Notebook being stuck. This can happen with memory-intensive operations or when the system is under heavy load. Consider the following:

Check Memory Usage: Monitor your system's memory usage. High usage may indicate a need for optimization.

Check CPU Usage: Similarly, high CPU usage may be a sign of resource-intensive operations.

Update Jupyter and Dependencies

Outdated Jupyter Notebook versions or dependencies might have bugs that can cause issues. Ensure you are using the latest versions:

Update Jupyter: Run !pip install --upgrade jupyter in a notebook cell to update Jupyter.

Update Dependencies: Update other relevant libraries by running !pip install --upgrade <library_name>.

Clear Output and Restart Notebook

Clearing the output of the cells and restarting the entire notebook can sometimes resolve persistent issues:

Clear Output: Use the "Cell" menu and select "All Output" → "Clear" to remove all cell outputs.

Restart Notebook: Restart the entire notebook using the "Kernel" menu's "Restart & Clear Output" option.

By following these troubleshooting steps, you can often resolve the issue of Jupyter Notebook being stuck on "In [*]" and ensure a smoother coding experience in your Python environment.