SoS Notebook – Using multiple kernels in one Jupyter notebook
I started to use IPython, and then Jupyter more than ten years ago but despite of all the nice features, there were always something missing, something that prevented me from using it as my main working environment. Notably, Jupyter lacks Line by line execution of scripts: The basic execution units
SoS Notebook – Using multiple kernels in one Jupyter notebook launched on December 5, 2017 with 41 votes, #720 of 2,482 launches that month and more than 90% of that year's launches. The site was still online in September 2026, 8 years on.
In plain words
SoS Notebook extends Jupyter by enabling multiple programming language kernels to run in a single notebook while supporting line-by-line code execution. Designed for developers and data scientists who use Jupyter, it addresses the limitation of cell-based execution by allowing finer-grained debugging and code iteration. The tool lets users work with different programming languages simultaneously and execute code more granularly than standard Jupyter cells allow.
written from the facts on this page · September 2026
From the sources
I started to use IPython, and then Jupyter more than ten years ago but despite of all the nice features, there were always something missing, something that prevented me from using it as my main working environment. Notably, Jupyter lacks Line by line execution of scripts: The basic execution units of Jupyter are cells so there is no easy way to execute, tweak, and re-execute pieces of the code fo
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