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Update README with performance tips
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jobh committed Feb 27, 2023
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Expand Up @@ -88,7 +88,8 @@ inverse_haversine(paris, 10, Direction.SOUTH, unit=Unit.NAUTICAL_MILES)

### Performance optimisation for distances between all points in two vectors

You will need to add [numpy](https://pypi.org/project/numpy/) in order to gain performance with vectors.
You will need to install [numpy](https://pypi.org/project/numpy/) in order to gain performance with vectors.
For optimal performance, you can turn off coordinate checking by adding `check=False` and install the optional packages [numba](https://pypi.org/project/numba/) and [icc_rt](https://pypi.org/project/icc_rt/).

You can then do this:

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