The error message you're encountering suggests that an operation in your Jupyter notebook requires a version of the `nbformat` package that is at least 3.2.0, but either the package is not installed, or the installed version is below the required version. The `nbformat` package is used to read and write Jupyter Notebook files. Here are the steps you can follow to resolve the issue: 1. **Check if `nbformat` is Installed:** Open your terminal or command prompt where your Jupyter notebook environment is activated and run the following command to check if `nbformat` is installed: ```bash pip show nbformat ``` or if you're using `conda`: ```bash conda list nbformat ``` This will show you the details of the installed version if it is present. 2. **Install or Upgrade `nbformat`:** If it turns out that `nbformat` is not installed or an older version is installed, you can install or upgrade it by running: ```bash pip install nbformat>=3.2.0 ``` or if you need to upgrade the existing version to the latest one: ```bash pip install --upgrade nbformat ``` If you're using `conda`, you can use: ```bash conda install nbformat ``` or to update: ```bash conda update nbformat ``` 3. **Restart the Jupyter Notebook:** After installing or upgrading `nbformat`, you need to restart your Jupyter notebook server for the changes to take effect. Simply close the current notebook, stop the server (usually with `Ctrl+C` in the terminal where it's running), and then restart it. 4. **Check for Compatibility Issues:** Ensure that other packages within your environment are compatible with the newly installed version of `nbformat`. Dependency conflicts can sometimes cause issues. 5. **Virtual Environment Issues:** If you're using a virtual environment, ensure you've activated the correct environment where `nbformat` is installed before launching the Jupyter notebook. Sometimes, the Jupyter notebook may run in a different environment where the `nbformat` package is not up to date or missing. 6. **Run Jupyter Notebook with Debugging:** If you continue to experience issues, you can run the Jupyter notebook with debug logging enabled to get more information about the error: ```bash jupyter notebook --debug ``` Following these steps should resolve the `ValueError` you're encountering and allow your Jupyter notebook to render the necessary MIME (Multipurpose Internet Mail Extensions) types effectively. Remember that resolving issues like this sometimes requires a bit of trial and error, especially when dealing with package versions and dependencies. Be patient and systematic in your approach, and you'll likely find a solution that works.