.. _rascil_examples: Examples ======== Running notebooks ***************** The best way to get familiar with RASCIL is via jupyter notebooks. For example:: jupyter notebook examples/notebooks/imaging.ipynb See the jupyter notebooks below: - `Imaging and deconvolution demonstration `_ - `Simple demonstration of the use of Dask/rsexecute `_ - `Bandpass calibration demonstration `_ - `Demonstrate visibility xarray format `_ Some functions initially developed for the LOFAR telescope pipeline are made available in RASCIL. The following notebooks show how the functions are integrated. - `Deconvolution with Rascil and Radler `_ - `Multi frequency deconvolution with Rascil and Radler `_ In addition, there are other notebooks in examples/notebooks that are not built as part of this documentation. In some cases it may be necessary to add the following to the notebook to locate the RASCIL data :code:`%env RASCIL_DATA=~/rascil_data/data` Running scripts *************** Some example scripts are found in the directory examples/scripts. - `examples/scripts/imaging.py `_ - `examples/scripts/primary_beam_zernikes.py `_