fix typos

jupyterbook/content/code_gallery/data_management_notebooks/2023-03-20-Reading_and_writing_zarr.ipynb

@@ -27,7 +27,7 @@
     "In this example we will load an ocean model data, stored as netCDF and served via THREDDS, subset it and save as zarr. Let's start by saving a single time step for the surface layer temperature and salinity.\n",
     "\n",
     "\n",
-    "\\* Many data formats can take advantage of storing the data in chunks for faster access, the zarr approach is differnt in that each chunk is a different object in cloud storage, making them better for parallel access. The chunks can be compressed to reduce their size and improve cloud performance even further. Zarr has a nice tutorial on how to balance chunk size for performance. Check it out: https://zarr.readthedocs.io/en/stable/tutorial.html#chunk-optimizations."
+    "\\* Many data formats can take advantage of storing the data in chunks for faster access, the zarr approach is different in that each chunk is a different object in cloud storage, making them better for parallel access. The chunks can be compressed to reduce their size and improve cloud performance even further. Zarr has a nice tutorial on how to balance chunk size for performance. Check it out: https://zarr.readthedocs.io/en/stable/tutorial.html#chunk-optimizations."
    ]
   },
   {