What is a kernel?
Generally, the term “kernel” has several meanings depending on the context. Conceptually, a “kernel” often refers to a core component of an operating system (eg: Windows, Linux, MacOS) or a foundational part of certain software computing systems. It serves as an intermediary or a bridge between hardware and software, manages all the system resources, and provides essential services for running the processes.
Coming to its relation with the Jupyter Notebook, acts as an engine that does all the computations for the codes written in the cells in specific programming languages such as Python, R, Perl, etc. It interprets the results and then, communicates it back to the notebook interface.
How to Fix Kernel Error in Jupyter Notebook
Jupyter Notebook is an open-source framework that comes under Anaconda software. It is a free cloud-based interactive platform used for computing in different types of languages. It is used for data analysis, visualizations, numerical calculations and simulations, equations, executing codes, machine learning, and sharing data easily. So, while performing any of such tasks, you may have encountered some errors at some point in time. One such error is the kernel error in Jupyter Notebook. This issue can be frustrating, especially when you are working on an important project and have to deal with some critical datasets.
In this article, we will be reading about the basic concepts of kernels and their various causes for errors. Also, we will see some of the specific scenarios that arise due to kernel errors, along with their diagnostic ways and troubleshooting techniques or steps that can be taken to identify and remove such errors. Moreover, we will also deal with working with alternative kernels.
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