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Getting Started — zarr 2.17.2 documentation - Read the Docs
Getting Started#. Zarr is a format for the storage of chunked, compressed, N-dimensional arrays inspired by HDF5, h5py and bcolz.. The project is fiscally sponsored by NumFOCUS, a US 501(c)(3) public charity, and development is supported by the MRC Centre for Genomics and Global Health and the Chan Zuckerberg Initiative.. These documents describe the Zarr Python implementation.
Zarr-Python — zarr 2.17.2 documentation - Read the Docs
Zarr-Python. #. Version: 2.17.2. Download documentation: PDF/Zipped HTML. Useful links : Installation | Source Repository | Issue Tracker | Zulip Chat. Zarr is a file storage format for chunked, compressed, N-dimensional arrays based on an open-source specification.
Tutorial — zarr 2.17.2 documentation - Read the Docs
Internally Zarr uses JSON to store array attributes, so attribute values must be JSON serializable. Advanced indexing# As of version 2.2, Zarr arrays support several methods for advanced or “fancy” indexing, which enable a subset of data items to be extracted or updated in an array without loading the entire array into memory.
GitHub - zarr-developers/zarr-python: An implementation of chunked ...
Zarr is a Python package providing an implementation of compressed, chunked, N-dimensional arrays, designed for use in parallel computing. See the documentation for more information. Main Features
Zarr
Zarr is a community project to develop specifications and software for storage of large N-dimensional typed arrays, also commonly known as tensors. A particular focus of Zarr is to provide support for storage using distributed systems like cloud object stores, and to enable efficient I/O for parallel computing applications. Description
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