Installation is a simple as executing: This means that it will no longer be feasible for astronomers to download these huge datasets and perform the data reduction on their own machines, as is currently the practice. The source code is located here: Of course the above example is not very useful as the container will not be able to access locally stored measurement sets. Jupyter is a web-based application which allows users to create interactive notebooks which can include annotated text and graphics as well as executable code. Therefore the local X11 socket needs to be shared with Docker container. 
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Of course the above example is not very useful as the container will not be able to access locally stored measurement sets. One way of facilitating this is through Jupyter notebooks.
AIPS++ - Wikipedia
This means that the whole data reduction process is self-documenting and fully repeatable. The source code is located here: Jupyter is designed be extended and makes it easy to add additional languages. It also allows users to very easily make changes to their pipeline and then rerun the pipeline steps affected.
The notebook format also has the great advantage that all steps of the data nra are preserved inside the notebook. Except where otherwise noted, content on this wiki is licensed under the following license: Therefore the local X11 socket needs to be shared with Docker container.
Data Processing
Jupyter is a web-based application which allows users to create interactive notebooks which can include annotated text and graphics as well as executable code. This trend will only accelerate; the SKA is expected to nfao nearly 1 TB caa archived data each day. Installation is a simple as executing: Currently Jupyter supports more than 40 different programming languages, including Python, R, and Matlab.
This means that it will no longer be feasible for astronomers to download these huge datasets and perform the data reduction on their own machines, as is currently the practice.
Instead the data reduction is likely to be done close to where the data is archived in central data processing centres, with the astronomer operating remotely on csaa data. CC Attribution-Share Alike 3.
Jupyter-CASA repository
Tasks such as plotms won't start unless X11 is working even when it doesn't even open a window. Tasks which normally spawn a GUI window are wrapped so that their output is saved to an image instead, which is then displayed inside the notebook. As part of the Obelics work-package we have created a Jupyter kernel for CASAa widely-used software package for processing astronomical data.
The size of astronomical datasets has increased dramatically over the years; terabyte sized datasets are no longer an exception.
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