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Contents:

  • Cimba in 10 Minutes
  • Tutorial: Modeling with Cimba Python
  • Topical Guides
    • Simulations and Event Queues
    • Processes
    • Queues and Resources
    • Monitoring and Statistics
    • Random Numbers
    • Native Cimba Concepts
  • Examples
  • API Reference
  • About Cimba
cimba-python
  • Topical Guides
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Topical Guides

Topical guides explain one area at a time. They are meant to be read when you already know the basic shape of a Cimba model and want firmer footing.

  • Simulations and Event Queues
    • The simulation context
    • Running events
    • Direct events
    • Stopping
    • Random seeds
  • Processes
    • Process functions
    • Scheduling and lifecycle
    • Process priorities
    • Timers and yielding
  • Queues and Resources
    • Numeric buffers
    • Object queues
    • Priority queues
    • Resources and resource pools
    • Conditions
  • Monitoring and Statistics
    • Recording state over time
    • Unweighted samples
    • Weighted samples
    • Replications
  • Random Numbers
    • Simulation-owned streams
    • Available distributions
    • Discrete empirical probabilities
    • Deterministic seed mixing
  • Native Cimba Concepts
    • What the Python layer adds
    • What the C docs explain best
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