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Zarr depends on NumPy. It is generally best to `install NumPy
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<https://numpy.org/doc/stable/user/install.html>`_ first using whatever method is most
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appropriate for your operating system and Python distribution. Other dependencies should be
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installed automatically if using one of the installation methods below.
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pip
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---
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Note: Zarr has endorsed `Scientific-Python SPEC 0 <https://scientific-python.org/specs/spec-0000/>`_ and now follows the version support window as outlined below:
There are a number of optional dependency groups you can install for extra functionality.
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These can be installed using ``pip install "zarr[<extra>]"``, e.g. ``pip install "zarr[gpu]"``
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$ pip install zarr
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- ``gpu``: support for GPUs
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- ``fsspec``: support for reading/writing to remote data stores
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- ``tree``: support for pretty printing of directory trees
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Alternatively, install Zarr via conda::
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conda
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-----
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.. code-block:: console
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$ conda install -c conda-forge zarr
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To install the latest development version of Zarr, you can use pip with the
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latest GitHub main::
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Conda does not support optional dependencies, so you will have to manually install any packages
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needed to enable extra functionality.
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Dependency support
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------------------
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Zarr has endorsed `Scientific-Python SPEC 0 <https://scientific-python.org/specs/spec-0000/>`_ and now follows the version support window as outlined below:
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