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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