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Update docs/access/jupyterlab.md
Co-authored-by: Rocco Meli <[email protected]>
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docs/access/jupyterlab.md

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MPI for Python provides bindings of the Message Passing Interface (MPI) standard for Python, allowing any Python program to exploit multiple processors.
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MPI can be made available on Jupyter notebooks through [IPyParallel](https://github.com/ipython/ipyparallel). This is a Python package and collection of CLI scripts for controlling clusters for Jupyter: A set of servers that act as a cluster, called engines, is created and the code in the notebook's cells will be executed within them.
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MPI can be made available on Jupyter notebooks through [IPyParallel](https://github.com/ipython/ipyparallel). This is a Python package and collection of CLI scripts for controlling clusters for Jupyter: a set of servers that act as a cluster, called engines, is created and the code in the notebook's cells will be executed within them.
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We provide the python package [`ipcmagic`](https://github.com/eth-cscs/ipcluster_magic) to make easier the mangement of IPyParallel clusters. `ipcmagic` can be installed by the user with
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