This post provides an introduction to Jupyter and the comparison between Jupyter and JupyterHub.
Jupyter is a browser-based interactive notebook for programming, mathematics, and data science. It supports a number of languages via plugins (“kernels”), such as Python, Ruby, Haskell, R, Scala and Julia.
JupyterHub: a multi-user server, manages and proxies multiple instances of the single-user Jupyter notebook server.
Pros of Jupyter:
- convenient for debugging – does not need to rerun the whole script when debugging a small fragment of the code.
- convenient for reporting
Cons of Jupyter:
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It messes with your version control.
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Code can only be run in chunks
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It’s difficult to keep track
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Code often ends up very fragmented
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The output is incomplete
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Potential security risks?
The notebook opens a http port. Pray to lord it will not land on 0.0.0.0 host. In that case the whole universe has access to your notebook and thus to your system.
References:
http://opiateforthemass.es/articles/why-i-dont-like-jupyter-fka-ipython-notebook/
