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:
It messes with your version control.
Code can only be run in chunks
It’s difficult to keep track
Code often ends up very fragmented
The output is incomplete
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.