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Get Started with Sampling.jl
Basic sampling algorithms for Julia.
Getting Started
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Read the official documentation
The Sampling.jl team maintains comprehensive docs that cover installation, configuration, and common patterns.
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Review strengths, tradeoffs, and alternatives
Our full tool profile covers Sampling.jl's strengths, weaknesses, pricing, and how it compares to alternatives.
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Julia developers working on statistical analysis and simulation tasks who require efficient sampling algorithms.
Researchers in computational statistics looking for a lightweight, high-performance library.