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Getting Started

Highlights

  • Create N-dimensional arrays with any NumPy dtype.
  • Chunk arrays along any dimension.
  • Compress and/or filter chunks using any NumCodecs codec.
  • Store arrays in memory, on disk, inside a Zip file, on S3, ...
  • Read an array concurrently from multiple threads or processes.
  • Write to an array concurrently from multiple threads or processes.
  • Organize arrays into hierarchies via groups.

Contributing

Feedback and bug reports are very welcome, please get in touch via the GitHub issue tracker. See :doc:`contributing` for further information about contributing to Zarr.

.. toctree::
    :caption: Getting Started
    :hidden:

    installation