epydemic
stable
  • Installation
  • Tutorial
  • API reference
  • Cookbook
    • Modelling human contact networks
    • Monitoring the progress of a simulation
    • Seeding the network with specific points of infection
    • Modelling epidemics with real-world data
    • An epidemic over a changing population
    • Keeping access to the network
    • Comparing series data
    • Finding the percolation threshold
    • Exploring network micro- and meso-structure
    • Improving execution times
  • Class structure
  • Implementation notes
  • Glossary
  • Bibliography
  • Contributing
epydemic
  • Docs »
  • Cookbook
  • Edit on GitHub

Cookbook¶

This page is a cookbook-in-progress of ways to use epydemic in practice.

  • Modelling human contact networks
    • The theory
    • The engineering
    • The limitations
  • Monitoring the progress of a simulation
  • Seeding the network with specific points of infection
    • Changing the initial seeding procedure
  • Modelling epidemics with real-world data
  • An epidemic over a changing population
    • Making processes work together
    • Keeping the numbers straight
    • Composition and sub-classing
    • Complicated process sequences
  • Keeping access to the network
  • Comparing series data
  • Finding the percolation threshold
  • Exploring network micro- and meso-structure
  • Improving execution times
    • Don’t be too ambitious
    • Use PyPy
    • Use a multicore workstation
    • Use a compute cluster
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