• Dask
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Getting Started

  • Install Dask
  • 10 Minutes to Dask
  • Talks & Tutorials
  • Best Practices
  • FAQ

Fundamentals

  • Array
    • Best Practices
    • Chunks
    • Create Dask Arrays
    • Overlapping Computations
    • Internal Design
    • Sparse Arrays
    • Stats
    • Slicing
    • Assignment
    • Stack, Concatenate, and Block
    • Generalized Ufuncs
    • API
  • Bag
    • Create Dask Bags
    • API
  • DataFrame
    • Create and Store Dask DataFrames
    • Best Practices
    • Internal Design
    • Shuffling for GroupBy and Join
    • Joins
    • Indexing into Dask DataFrames
    • Categoricals
    • Extending DataFrames
    • Dask Dataframe and Parquet
    • Dask Dataframe and SQL
    • API
  • Delayed
    • Working with Collections
    • Best Practices
  • Futures
  • Deploy Dask Clusters
    • Python API
    • Command Line
    • SSH
    • Docker Images
    • High Performance Computers
    • Kubernetes
      • Helm
      • Native
    • Cloud
    • Python API (advanced)

Internals

  • Understanding Performance
  • Scheduling
  • Task Graphs
    • Specification
    • Custom Graphs
    • Optimization
    • Advanced graph manipulation
    • Custom Collections
    • High Level Graphs
  • Debugging and Performance
    • Debug
    • Visualize task graphs
    • Dashboard
    • Diagnostics (local)
    • Diagnostics (distributed)
    • Phases of computation
  • Dask Internals
    • User Interfaces
    • Understanding Performance
    • Stages of Computation
    • Ordering
    • Opportunistic Caching
    • Shared Memory
    • Scheduling in Depth

Reference

  • API Reference
    • Array
    • DataFrame
    • Bag
    • Delayed
    • Futures
  • Command Line Interface
  • Development Guidelines
  • Changelog
  • Configuration
  • How To…
    • Setup adaptive deployments
    • Connect to remote data
    • Customize initialization
    • Debug
    • Extend sizeof
    • Manage environments
    • Selecting the collection backend
    • Setup Prometheus monitoring
    • Use GPUs
  • Maintainer Guidelines
Theme by the Executable Book Project

All modules for which code is available

  • dask.array.blockwise
  • dask.array.chunk
  • dask.array.chunk_types
  • dask.array.core
  • dask.array.creation
  • dask.array.einsumfuncs
  • dask.array.fft
  • dask.array.gufunc
  • dask.array.image
  • dask.array.linalg
  • dask.array.ma
  • dask.array.numpy_compat
  • dask.array.overlap
  • dask.array.percentile
  • dask.array.rechunk
  • dask.array.reductions
  • dask.array.reshape
  • dask.array.routines
  • dask.array.stats
  • dask.array.tiledb_io
  • dask.array.ufunc
  • dask.array.wrap
  • dask.bag.avro
  • dask.bag.core
  • dask.bag.random
  • dask.bag.text
  • dask.base
  • dask.bytes.core
  • dask.callbacks
  • dask.config
  • dask.dataframe.accessor
  • dask.dataframe.core
  • dask.dataframe.dispatch
  • dask.dataframe.groupby
  • dask.dataframe.io.csv
  • dask.dataframe.io.hdf
  • dask.dataframe.io.io
  • dask.dataframe.io.json
  • dask.dataframe.io.orc.core
  • dask.dataframe.io.parquet.core
  • dask.dataframe.io.sql
  • dask.dataframe.multi
  • dask.dataframe.numeric
  • dask.dataframe.reshape
  • dask.dataframe.rolling
  • dask.dataframe.tseries.resample
  • dask.datasets
  • dask.delayed
  • dask.diagnostics.profile
  • dask.diagnostics.profile_visualize
  • dask.diagnostics.progress
  • dask.graph_manipulation
  • dask.highlevelgraph
  • dask.optimization
  • dask.rewrite
  • dask.typing
  • dask.utils
  • numpy.ma.core
  • pandas.core.reshape.merge
  • pandas.core.tools.datetimes
  • pandas.core.tools.timedeltas

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