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Lai, Weijian
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Reviewed-by: Pruthi, Vineet <vineet.pruthi@t-systems.com> Co-authored-by: Lai, Weijian <laiweijian4@huawei.com> Co-committed-by: Lai, Weijian <laiweijian4@huawei.com>
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2.9 KiB
Introduction to Jupyter Notebook
Jupyter Notebook is a web-based application for interactive computing. It can be applied to full-process computing: development, documentation, running code, and presenting results.
ModelArts integrates the open-source Jupyter Notebook. After creating a notebook instance, you can open the instance for development without the need for installation and configuration.
Notebook Kernel
- A notebook kernel is an independent code execution environment. ModelArts Notebook supports multiple kernel types. A code execution environment contains the pre-installed and commissioned AI engines and dependencies.
- When a kernel is selected to open a notebook instance, an IPython process is started at the backend of the notebook instance as the running environment to execute the code and command input on the page.
- Each kernel type contains an independent Conda running environment to ensure that the AI engines are independent of each other. For example, if the Keras library is updated in a kernel of the TensorFlow type, the kernel of the MindSpore type will not be affected.
Differences Between Notebook Kernels and Common Interactive Python Interpreters
A notebook kernel is an IPython running environment, which can be considered as an enhanced Python shell. Compared with a Python interpreter, a notebook kernel can execute shell scripts and integrate more visualized tools and magic commands. For details, see IPython Documentation.
Parent topic: Using Jupyter Notebook