JupyterHub is a popular open-source tool used for deploying multi-user Jupyter notebook environments. It allows users to spawn, manage, and proxy multiple instances of the single-user Jupyter notebook server, providing an easy-to-use web interface to users. It's widely used in data science and machine learning applications for managing collaborative and interactive data science workloads. With its flexibility and scalability, JupyterHub can be deployed on any infrastructure, from laptops to high-performance computing clusters.
JupyterHub is ideal for organizations that require a centralized environment for data science and machine learning projects. It enables data scientists, researchers, and developers to work collaboratively on the same projects without interference or access restrictions. It is also useful for educational institutions that require a platform for teaching and learning data science and machine learning.
To use JupyterHub 3.1.1, follow these steps:
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