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numpy is no longer a build dependency
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docs/index.rst

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@@ -21,7 +21,7 @@ Highlights
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* Store arrays in memory, on disk, inside a Zip file, on S3, ... pretty much anywhere you like.
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* Read an array concurrently from multiple threads or processes.
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* Write to an array concurrently from multiple threads or processes.
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Status
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@@ -32,10 +32,6 @@ tracker <https://github.com/alimanfoo/zarr/issues>`_.
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Installation
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N.B., installation of Zarr requires that Numpy is already installed, e.g.::
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$ pip install numpy
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Install Zarr from PyPI::
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$ pip install zarr

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