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  • – dask
    • Dask
      • Familiar user interface
      • Scales from laptops to clusters
      • Complex Algorithms
      • Index
        • Install Dask
        • Use Cases
        • Examples
        • Dask Cheat Sheet
        • Array
          • Overview
          • Create Dask Arrays
          • Store Dask Arrays
          • Plugins
          • API
          • Slicing
          • Stack and Concatenate
          • Overlapping Blocks with Ghost Cells
          • Internal Design
          • LinearOperator
          • Sparse Arrays
          • Stats
        • Bag
        • DataFrame
        • Delayed
        • Futures
        • Machine Learning
        • Distributed Scheduling
        • Scheduler Overview
        • Choosing between Schedulers
        • Shared Memory
        • Scheduling in Depth
        • Inspecting Dask objects
        • Diagnostics
        • Overview
        • Specification
        • Custom Graphs
        • Optimization
        • Debugging
        • Contact and Support
        • Changelog
        • Presentations On Dask
        • Development Guidelines
        • Frequently Asked Questions
        • Comparison to PySpark
        • Opportunistic Caching
        • Internal Data Ingestion
        • Remote Data Services
        • Citations
        • Funding
    • Dask Distributed
  • – llvmlite
  • – PhosphorJS
  • – Numba

ArrayΒΆ

Dask arrays implement a subset of the NumPy interface on large arrays using blocked algorithms and task scheduling.

  • Overview
  • Create Dask Arrays
  • Store Dask Arrays
  • Plugins
  • API

Other topics

  • Slicing
  • Stack and Concatenate
  • Overlapping Blocks with Ghost Cells
  • Internal Design
  • LinearOperator
  • Sparse Arrays
  • Stats
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