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For users

  • Getting Started
  • User Guide
    • Executors
    • Storage
    • Memory
    • Reliability
    • Optimization
    • Scaling
    • Diagnostics
    • GPU Support
  • Examples
    • How to run
    • Basic array operations
    • Zarr
    • Xarray
    • Rechunking
    • Icechunk
    • Pangeo
  • API Reference
    • cubed.Array
    • cubed.Array.compute
    • cubed.Array.rechunk
    • cubed.Array.visualize
    • cubed.compute
    • cubed.visualize
    • cubed.from_array
    • cubed.from_zarr
    • cubed.store
    • cubed.to_zarr
    • cubed.apply_gufunc
    • cubed.map_blocks
    • cubed.map_overlap
    • cubed.rechunk
    • cubed.isin
    • cubed.nanmean
    • cubed.nansum
    • cubed.pad
    • cubed.random.random
    • cubed.Callback
    • cubed.Spec
    • cubed.TaskEndEvent
    • cubed.measure_reserved_mem
    • cubed.raise_if_computes
  • Python Array API
  • Configuration
  • Why Cubed?
  • Related Projects
  • Articles and Presentations

For developers

  • Design
  • Operations
  • Computation
  • Contributing
  • Repository
  • Suggest edit
  • Open issue

Examples

Examples#

Various examples demonstrating what you can do with Cubed.

  • How to run
    • Local machine
    • Cloud set up
  • Basic array operations
    • Adding two small arrays
    • Adding two larger arrays
    • Matmul
    • Trying different executors
  • Zarr
    • Write to Zarr
    • Read from Zarr
    • Multiple arrays
  • Xarray
    • Open dataset
    • Convert to Zarr
    • Compute the mean
  • Rechunking
    • Open dataset
    • Rechunk
    • Save to Zarr
  • Icechunk
    • Write to Icechunk
    • Read from Icechunk
  • Pangeo
    • Notebooks
    • Running the notebook examples

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GPU Support

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How to run

By Cubed contributors

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