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  • User Guide
    • 1. Generating Data
    • 2. Parallel & Distributed Generation
    • 3. Plotting Data
    • 4. Utilities - Benchmarking and Estimation
  • Examples
    • Basic Output Example
    • Structured Output with Julia Set Example
    • ‘Farming’ with Harvester Example
    • Persistent/Distributed Generation with Crop Example
    • Using dask.distributed as Parallel Pool Example
    • Visualizing Linear Algebra Decompositions
  • Changelog
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User Guide

User Guide#

  • 1. Generating Data
    • 1.1. Combos & Cases
    • 1.2. Describing the function - Runner
    • 1.3. Aggregating data - Harvester
    • 1.4. Aggregating Random samples of data - Sampler
    • 1.5. Summary
  • 2. Parallel & Distributed Generation
    • 2.1. Parallel Generation - num_workers and pool
    • 2.2. Batched / Distributed generation - Crop
  • 3. Plotting Data
    • 3.1. Line Plots
    • 3.2. Heatmaps
    • 3.3. Scatter plots
    • 3.4. Histograms
  • 4. Utilities - Benchmarking and Estimation
    • 4.1. Timing
    • 4.2. Estimation

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Welcome to xyzpy’s documentation!

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1. Generating Data

By Johnnie Gray
© Copyright 2016-2021, Johnnie Gray.