Скачать или смотреть Fixing the Python Kernel Issue in Visual Studio Code for Jupyter Notebooks on macOS

Learn how to set the missing `Python kernel` in Visual Studio Code's Jupyter Notebook, ensuring a smooth development experience on macOS.
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Fixing the Python Kernel Issue in Visual Studio Code for Jupyter Notebooks on macOS

Are you using Visual Studio Code for your Jupyter notebooks but struggling with a missing or incorrect Python kernel? You’re not alone! Many users face similar challenges, especially when managing different Python versions with tools like pyenv. Today, we will walk you through the steps required to set up the correct Python kernel in your Jupyter Notebook on macOS.

Understanding the Problem

When you install a new version of Python using pyenv, it is essential to ensure that this version is recognized by Visual Studio Code. In your case, Python 3.10.7 is correctly installed and set as the global version. However, Visual Studio Code might still be linking to an older version (like Python 3.9.6) in Jupyter, leading to confusion and errors when running your notebooks.

Configuration Steps to Set the Python Kernel

Here’s how to resolve the issue and successfully set Python 3.10.7 as your Jupyter notebook kernel:

Step 1: Check Your Python Installation

To ensure everything is working as intended, first verify that Python 3.10.7 is indeed installed and accessible.

Open your terminal and type:

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

You should see the output indicating Python 3.10.7.

Step 2: Create a Test Python File

Open Visual Studio Code and select File -> Open Folder to access your project directory (you can open your Desktop or any preferred folder).

Create a new Python file named test.py and add the following code:

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

Run the Python file by executing it in the terminal (or simply use the run button in VS Code) to ensure the output is correct (it should print 6).

Step 3: Select the Correct Kernel in Jupyter

Press Cmd + Shift + P to open the command palette in Visual Studio Code.

Type Jupyter: Select Kernel and then click on Jupyter Filter Kernels.

From the list of available kernels, select Python 3.10.7. If Python 3.9.6 is selected, make sure to unselect it.

Step 4: Create a New Jupyter Notebook

Create a Jupyter Notebook file (with the .ipynb extension).

When opened, you should find that the kernel defaults to Python 3.10.7.

Conclusion

Following the aforementioned steps will help to bind your desired Python version with Jupyter Notebooks in Visual Studio Code. While some of these steps might seem redundant, it's often about finding the correct trigger that enables the system to recognize new configurations.

If you find that certain actions were unnecessary but resulted in a working setup, that's perfectly okay! Troubleshooting development environments often involves trial and error.

If you continue to face issues with kernel selection or if Python 3.10.7 doesn’t appear, revisiting your ipykernel installation or checking the kernel configurations may be beneficial.

Now you can proceed with your data science experiments or other Python endeavors without worrying about kernel mismatches! Happy coding!