Making grammar consistent

Author: michaeldenes

docs/examples/parcels_tutorial.ipynb

@@ -21,7 +21,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "In this tutorial, we will first cover how to run a set of particles [from a very simple idealised field](#Running-particles-in-an-idealised-field). We will show how easy it is to run particles in [time-backward mode](#Running-particles-in-backward-time). Then, we will show how to [add custom behaviour](#Adding-a-custom-behaviour-kernel) to the particles. Then we will show how to [run particles in a set of NetCDF files from external data](#Reading-in-data-from-arbritrary-NetCDF-files). Then we will show how to use particles to [sample a field](#Sampling-a-Field-with-Particles) such as temperature or sea surface height. And finally, we will show how to [write a kernel that tracks the distance travelled by the particles](#calculating-distance-travelled).\n"
+    "In this tutorial, we will first cover how to run a set of particles [from a very simple idealised field](#Running-particles-in-an-idealised-field). We will show how easy it is to run particles in [time-backward mode](#Running-particles-in-backward-time). Then, we will show how to [add custom behaviour](#Adding-a-custom-behaviour-kernel) to the particles. Then, we will show how to [run particles in a set of NetCDF files from external data](#Reading-in-data-from-arbritrary-NetCDF-files). Then, we will show how to use particles to [sample a field](#Sampling-a-Field-with-Particles) such as temperature or sea surface height. And finally, we will show how to [write a kernel that tracks the distance travelled by the particles](#calculating-distance-travelled).\n"
    ]
   },
   {
@@ -147,7 +147,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Print the `ParticleSet` to see where they start\n"
+    "Print the `ParticleSet` to see where they start.\n"
    ]
   },
   {
@@ -181,7 +181,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "To plot the positions of these particles on the zonal velocity, use the following command\n"
+    "To plot the positions of these particles on the zonal velocity, use the following command.\n"
    ]
   },
   {
@@ -250,7 +250,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "The code should have run, which can be confirmed by printing and plotting the `ParticleSet` again\n"
+    "The code should have run, which can be confirmed by printing and plotting the `ParticleSet` again.\n"
    ]
   },
   {
@@ -13223,7 +13223,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Now print the particles again, and see that they (except for some round-off errors) returned to their original position\n"
+    "Now print the particles again, and see that they (except for some round-off errors) returned to their original position.\n"
    ]
   },
   {
@@ -13348,7 +13348,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "And now plot this new trajectory file\n"
+    "And now plot this new trajectory file.\n"
    ]
   },
   {
@@ -13407,7 +13407,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "First, define the names of the files containing the zonal (U) and meridional (V) velocities. You can use wildcards (`*`) and the filenames for U and V can be the same (as in this case)\n"
+    "First, define the names of the files containing the zonal (U) and meridional (V) velocities. You can use wildcards (`*`) and the filenames for U and V can be the same (as in this case).\n"
    ]
   },
   {
@@ -13429,7 +13429,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Then, define a dictionary of the variables (`U` and `V`) and dimensions (`lon`, `lat` and `time`; note that in this case there is no `depth` because the GlobCurrent data is only for the surface of the ocean)\n"
+    "Then, define a dictionary of the variables (`U` and `V`) and dimensions (`lon`, `lat` and `time`; note that in this case there is no `depth` because the GlobCurrent data is only for the surface of the ocean).\n"
    ]
   },
   {
@@ -13450,7 +13450,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Finally, read in the fieldset using the `FieldSet.from_netcdf` function with the above-defined `filenames`, `variables` and `dimensions`\n"
+    "Finally, read in the fieldset using the `FieldSet.from_netcdf` function with the above-defined `filenames`, `variables` and `dimensions`.\n"
    ]
   },
   {
@@ -13467,7 +13467,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Now define a `ParticleSet`, in this case with 5 particle starting on a line between (28E, 33S) and (30E, 33S) using the `ParticleSet.from_line` constructor method\n"
+    "Now define a `ParticleSet`, in this case with 5 particle starting on a line between (28E, 33S) and (30E, 33S) using the `ParticleSet.from_line` constructor method.\n"
    ]
   },
   {
@@ -13490,7 +13490,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "And finally execute the `ParticleSet` for 10 days using 4th order Runge-Kutta\n"
+    "And finally execute the `ParticleSet` for 10 days using 4th order Runge-Kutta.\n"
    ]
   },
   {
@@ -13524,7 +13524,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Because the GlobCurrent data represents the 'real' ocean, we can use the [trajan](https://opendrift.github.io/trajan/index.html) package to visualize this simulation. Use `ds.traj.plot()` to plot the trajectories\n"
+    "Because the GlobCurrent data represents the 'real' ocean, we can use the [trajan](https://opendrift.github.io/trajan/index.html) package to visualize this simulation. Use `ds.traj.plot()` to plot the trajectories.\n"
    ]
   },
   {
@@ -13622,7 +13622,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Now define a `ParticleSet` using the `from_line` method also used above in the GlobCurrent data. Plot the `pset` on top of a contour plot of the `P` field\n"
+    "Now define a `ParticleSet` using the `from_line` method also used above in the GlobCurrent data. Plot the `pset` on top of a contour plot of the `P` field.\n"
    ]
   },
   {
@@ -13684,7 +13684,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Now, execute the `pset` with a combination of the `AdvectionRK4` and `SampleP` kernels\n"
+    "Now, execute the `pset` with a combination of the `AdvectionRK4` and `SampleP` kernels.\n"
    ]
   },
   {
@@ -13800,7 +13800,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Now define a new function `TotalDistance` that calculates the sum of Euclidean distances between the old and new locations in each RK4 step\n"
+    "Now define a new function `TotalDistance` that calculates the sum of Euclidean distances between the old and new locations in each RK4 step.\n"
    ]
   },
   {
@@ -13902,7 +13902,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "And finally print the distance in km that each particle has travelled (note that this is also stored in the `EddyParticles_Dist.zarr` file)\n"
+    "And finally print the distance in km that each particle has travelled (note that this is also stored in the `EddyParticles_Dist.zarr` file).\n"
    ]
   },
   {