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Modin 0.37.0+2.g99037af documentation - Home
  • Getting Started
  • Usage Guide
  • Supported APIs
  • Development
  • Ecosystem
    • Contact
  • GitHub
  • PyPI
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  • Join the Slack
  • Mailing List
  • Getting Started
  • Usage Guide
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Section Navigation

  • Contributing
  • System Architecture
    • Base pandas Dataset API
    • DataFrame Module Overview
    • Series Module Overview
  • Partition API in Modin
    • Pandas partitioning API
  • pandas on Ray
  • pandas on Dask
  • pandas on Python
  • pandas on MPI through unidist
  • Development

Development#

  • Contributing
    • Getting Started
    • Certificate of Origin
      • CERTIFICATE OF ORIGIN V 1.1
    • Commit Message formatting
    • General Rules for committers
    • Development Dependencies
    • Code Formatting and Lint
    • Adding a test
    • Running the tests
    • Performance measurement
    • Building documentation
    • Contributing a new execution framework or in-memory format
  • System Architecture
    • High-Level Architectural View
    • System View
    • Subsystem/Container View
    • Component View
      • Data Transformation
        • Query Compiler
        • Automatic Engine Switching and Casting
        • Core Modin Dataframe
        • Core Modin Dataframe API
        • Partition Manager
        • Partitions
      • Execution Engine
      • Storage Format
      • Data Ingress
      • Data Egress
      • Supported Execution Engines and Storage Formats
    • DataFrame Partitioning
    • Index
    • API
      • Base pandas Dataset API
        • Public API
      • DataFrame Module Overview
        • Modin’s pandas.DataFrame API
        • Usage Guide
      • Series Module Overview
        • Modin’s pandas.Series API
        • Usage Guide
    • Module/Class View
  • Partition API in Modin
    • Partition IPs
    • Partition API implementations
    • Ray engine
    • Dask engine
    • Unidist engine
    • How to handle Ray objects that are lower than 100 kB
  • pandas on Ray
  • pandas on Dask
    • Using Modin on Dask locally
    • Using Modin on Dask in a Cluster
    • Conversion between Modin DataFrame and Dask DataFrame
  • pandas on Python
  • pandas on MPI through unidist

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