Switching Jupyter Kernel not by GUI

[xp1632]

IPython Switching kernel

It is possible to switch the executing kernel programmatically in Jupyter Notebook using the IPython kernel API. Here are the steps to switch the kernel programmatically:

1. Import the IPython kernel API by running the following code:

   from IPython.display import display
   from ipykernel import kernelapp as app

2. Use the app.IPKernelApp.instance() method to get the current kernel instance.

3. Use the instance.kernel.do_shutdown(restart=True) method to shutdown the current kernel and restart it with a new kernel. You can pass the name of the new kernel as an argument to the --kernel option.

Here is an example code snippet that switches the kernel from Python to Java:

from IPython.display import display
from ipykernel import kernelapp as app

# Get the current kernel instance
kernel = app.IPKernelApp.instance().kernel

# Shutdown the current kernel and restart it with the Java kernel
kernel.do_shutdown(restart=True, kernel_name='java')

Note that this method is not recommended for switching between kernels frequently, as it can be slow and may cause issues with the notebook state. It is better to use the kernel dropdown menu to switch between kernels manually.

Citations: [1] https://github.com/microsoft/vscode-jupyter/issues/10043 [2] https://code.visualstudio.com/docs/datascience/jupyter-kernel-management [3] https://stackoverflow.com/questions/60330837/jupyter-server-not-started-no-kernel-in-vs-code [4] https://pypi.org/project/beakerx-kernel-java/ [5] https://stackoverflow.com/questions/33972860/java-kernel-for-jupyter [6] https://towardsdatascience.com/optimizing-jupyter-notebook-tips-tricks-and-nbextensions-26d75d502663

[xp1632]

• Additionally, BeakerX provides a way to programmatically execute code in a kernel using the Kernel.execute() method .
• Therefore, you can switch the executing kernel programmatically in BeakerX by using the Kernel.execute() method to execute code in a different kernel. ref: https://pypi.org/project/beakerx-kernel-java/

[xp1632]

BeakerX switching kernel:

To programmatically change the kernel in BeakerX, you can use the Kernel.execute() method to execute code in a different kernel[1]. Here are the steps to change the kernel programmatically in BeakerX:

1. Import the Kernel class from the beakerx.kernel module by running the following code:

   from beakerx.kernel import KernelManager

2. Use the KernelManager.get_instance() method to get the current kernel instance.

3. Use the KernelManager.get_kernel(kernel_name) method to get the kernel instance for the desired kernel. You can pass the name of the kernel as an argument to this method.

4. Use the Kernel.execute(code) method to execute code in the desired kernel. You can pass the code to be executed as an argument to this method.

Here is an example code snippet that switches the kernel from Python to Java:

from beakerx.kernel import KernelManager

# Get the current kernel instance
current_kernel = KernelManager.get_instance().get_kernel()

# Get the Java kernel instance
java_kernel = KernelManager.get_instance().get_kernel(kernel_name='java')

# Execute code in the Java kernel
java_kernel.execute("System.out.println('Hello from Java!');")

# Switch back to the Python kernel
current_kernel.execute("print('Hello from Python!');")

Note that this method is not recommended for switching between kernels frequently, as it can be slow and may cause issues with the notebook state. It is better to use the kernel dropdown menu to switch between kernels manually.

Citations: [1] https://pypi.org/project/beakerx-kernel-autotranslation/ [2] https://pypi.org/project/beakerx-kernel-java/ [3] https://stackoverflow.com/questions/67028839/set-the-kernel-programmatically-in-a-jupyter-lab-notebook [4] https://pypi.org/project/beakerx-kernel-groovy/ [5] https://github.com/twosigma/beakerx_kernel_java [6] https://github.com/twosigma/beakerx