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minor doco
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docs/index.rst

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@@ -13,7 +13,7 @@ Highlights
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* Create N-dimensional arrays with any NumPy dtype.
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* Chunk arrays along any dimension.
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* Compress chunks using the fast Blosc_ meta-compressor or alternatively using zlib, BZ2 or LZMA.
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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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* Store arrays in memory, on disk, inside a Zip file, on S3, ...
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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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