Jupyter Notebook运行无响应及JSON解码错误问题求助

Hey there, let's work through these two frustrating Jupyter Notebook problems together—they're both common, but we can nail them down with a few targeted checks.

Issue 1: Jupyter loads normally but code execution has no response #

Here are the first things to check and fix:

• Verify kernel status: Look at the top-right corner of your Notebook. If it says "Busy" indefinitely, the kernel might be frozen. Try restarting it via Kernel → Restart (save your work first!). If that doesn't help, shut down the entire Jupyter server and restart it.
• Check system resource usage: Open your task manager (Windows) or activity monitor (Mac/Linux) to see if the Python process is hogging CPU or memory. Large datasets, infinite loops, or resource-heavy code can easily cause this kind of hang.
• Inspect your code: Double-check for accidental infinite loops, or code that waits for user input (like input()) without showing a prompt—this can make it seem like the Notebook is unresponsive when it's actually waiting for you.
• Reinstall the kernel: A corrupted kernel can cause execution failures. Run these commands in your terminal:

  pip uninstall -y ipykernel
  pip install ipykernel
  python -m ipykernel install --user
  

  Then restart Jupyter and try running code again.

Issue 2: JSONDecodeError when accessing /ipython/api/kernelspecs #

This error usually points to a corrupted kernel configuration or compatibility issues. Try these fixes:

• Check kernel configuration files: First, find where your kernelspecs are stored with this command:

  jupyter kernelspec list
  

  Navigate to the path listed for your problematic kernel, and open the kernel.json file. If it's empty, malformed, or missing, delete that kernel's folder entirely, then reinstall the kernel using the commands from Issue 1.
• Clear Jupyter cache and configs: Corrupted cache files can cause this error. Back up your Jupyter config directory first (Windows: %APPDATA%\jupyter, Mac/Linux: ~/.jupyter), then delete the directory. Restart Jupyter—it will generate fresh config files automatically.
• Update all Jupyter-related packages: Version mismatches between Jupyter components often trigger this error. Run this command to upgrade everything:

  pip install --upgrade jupyter notebook ipykernel ipython
  

• Reset Jupyter configuration: If custom settings are causing conflicts, generate a new default config file:

  jupyter notebook --generate-config --force
  

  This will overwrite your existing config (make sure you backed it up first!), then restart the server.

Hope these steps get your Jupyter Notebook working smoothly again. If you still hit roadblocks, sharing details like your Python/Jupyter version, operating system, and any recent environment changes (like new package installs) could help narrow things down further.

内容的提问来源于stack exchange，提问作者Soman Dubey