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fix linkcheck
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advanced/apply_ufunc/numba-vectorization.ipynb

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"\n",
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"Another option is to use the [numba package](https://numba.pydata.org/) which provides two very convenient decorators to build [numpy universal functions or ufuncs](https://numba.readthedocs.io/en/stable/user/vectorize.html):\n",
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"1. [`vectorize`](https://numba.readthedocs.io/en/stable/user/vectorize.html#the-vectorize-decorator) for functions that act on scalars, and \n",
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"2. [`guvectorize`](https://numba.pydata.org/numba-doc/latest/user/vectorize.html#the-guvectorize-decorator) for functions that operates on subsets of the array along core-dimensions. Any decorated function gets compiled and will loop over the loop dimensions in parallel when necessary. \n",
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"2. [`guvectorize`](https://numba.readthedocs.io/en/stable/user/vectorize.html#the-guvectorize-decorator) for functions that operates on subsets of the array along core-dimensions. Any decorated function gets compiled and will loop over the loop dimensions in parallel when necessary. \n",
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"\n",
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"For `apply_ufunc` the key concept is that we must provide `vectorize=False` (the default) when using Numba vectorized functions. \n",
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"Numba handles the vectorization (or looping) and `apply_ufunc` handles converting Xarray objects to bare arrays and handling metadata."

intermediate/remote_data/remote-data.ipynb

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"The `open_dataset()` method is our entry point to n-dimensional data with xarray, the first argument we pass indicates what we want to open and is used by xarray to get the right backend and in turn is used by the backend to open the file locally or remote. The accepted types by xarray are:\n",
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"\n",
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"\n",
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"* **str**: \"my-file.nc\" or \"s3:://my-zarr-store/data.zarr\"\n",
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"* **str**: `my-file.nc` or `s3:://my-zarr-store/data.zarr`\n",
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"* **os.PathLike**: Posix compatible path, most of the times is a Pathlib cross-OS compatible path.\n",
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"* **BufferedIOBase**: some xarray backends can read data from a buffer, this is key for remote access.\n",
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"* **AbstractDataStore**: This one is the generic store and backends should subclass it, if we do we can pass a \"store\" to xarray like in the case of Opendap/Pydap\n",

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