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Update index.rst
Updating links to jupyter notebok
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docs/index.rst

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* Ability to add custom Variables to Particles (see `the Sampling-a-Field-with-Particles part of the Tutorial <http://nbviewer.jupyter.org/github/OceanParcels/parcels/blob/master/parcels/examples/parcels_tutorial.ipynb#Sampling-a-Field-with-Particles>`_)
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* Ability to add and remove Particles (see :func:`parcels.particleset.ParticleSet.add` and :func:`parcels.particleset.ParticleSet.remove`)
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* Ability to run in both Scipy and JIT (Just-In-Time compilation) mode. The former is easier to debug, but the latter can be a factor 1,000 faster (see the `JIT-vs-Scipy tutorial <http://nbviewer.jupyter.org/github/OceanParcels/parcels/blob/master/parcels/examples/tutorial_jit_vs_scipy.ipynb>`_)
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* Ability to read in hydrodynamic field in NetCDF format from a suite of models (see `the Reading-in-data-from-arbritrary-NetCDF-files part of the Tutorial <http://nbviewer.jupyter.org/github/OceanParcels/parcels/blob/master/parcels/examples/parcels_tutorial.ipynb#Reading-in-data-from-arbritrary-NetCDF-files>`_). Parcels currently supports Rectilinear and Curvilinear grids in the horizontal (see also the `NEMO curvilinear grids tutorial <https://nbviewer.jupyter.org/github/OceanParcels/parcels/blob/curvilinear/parcels/examples/tutorial_nemo_curvilinear.ipynb>`_).
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* Ability to read in hydrodynamic field in NetCDF format from a suite of models (see `the Reading-in-data-from-arbritrary-NetCDF-files part of the Tutorial <http://nbviewer.jupyter.org/github/OceanParcels/parcels/blob/master/parcels/examples/parcels_tutorial.ipynb#Reading-in-data-from-arbritrary-NetCDF-files>`_). Parcels currently supports Rectilinear and Curvilinear grids in the horizontal (see also the `NEMO curvilinear grids tutorial <https://nbviewer.jupyter.org/github/OceanParcels/parcels/blob/master/parcels/examples/tutorial_nemo_curvilinear.ipynb>`_).
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* Output particles in NetCDF format (see :mod:`parcels.particlefile`)
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* Basic plotting of particles, both on the fly and from netcdf output files (see the `plotting tutorial <http://nbviewer.jupyter.org/github/OceanParcels/parcels/blob/master/parcels/examples/tutorial_plotting.ipynb>`_)
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@@ -65,7 +65,7 @@ The best way to get started with Parcels is to have a look at the Jupyter notebo
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* `Periodic boundaries tutorial <https://nbviewer.jupyter.org/github/OceanParcels/parcels/blob/master/parcels/examples/tutorial_periodic_boundaries.ipynb>`_ for a tutorial on how to implement periodic boundary conditions
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* `NEMO curvilinear grids tutorial <https://nbviewer.jupyter.org/github/OceanParcels/parcels/blob/curvilinear/parcels/examples/tutorial_nemo_curvilinear.ipynb>`_ for a tutorial on how to run Parcels on curvilinear grids such as those of the NEMO models
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* `NEMO curvilinear grids tutorial <https://nbviewer.jupyter.org/github/OceanParcels/parcels/blob/master/parcels/examples/tutorial_nemo_curvilinear.ipynb>`_ for a tutorial on how to run Parcels on curvilinear grids such as those of the NEMO models
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* `FieldSet.advancetime() tutorial <https://nbviewer.jupyter.org/github/OceanParcels/parcels/blob/master/parcels/examples/tutorial_advancetime.ipynb>`_ for a tutorial on how to use Parcels with datasets that have a large number of time snapshots.
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