QuantEcon documentation

The quantecon python library consists of a number of modules which includes game theory (game_theory), markov chains (markov), random generation utilities (random), a collection of tools (tools), and other utilities (util) which are mainly used by developers internal to the package.

• Installation
  • Usage
  • Downloading the quantecon Repository
  • Examples and Sample Code
• Game theory
  • brd
  • fictplay
  • game_converters
  • howson_lcp
  • lemke_howson
  • localint
  • logitdyn
  • mclennan_tourky
  • normal_form_game
  • polymatrix_game
  • pure_nash
  • random
  • repeated_game
  • support_enumeration
  • utilities
  • vertex_enumeration
  • bimatrix_generators
• Markov
  • approximation
  • core
  • ddp
  • estimate
  • gth_solve
  • random
  • utilities
• Optimize
  • lcp_lemke
  • linprog_simplex
  • minmax
  • nelder_mead
  • pivoting
  • root_finding
  • scalar_maximization
• Random
  • utilities
• Tools
  • arma
  • ce_util
  • compute_fp
  • discrete_rv
  • distributions
  • dle
  • ecdf
  • estspec
  • filter
  • graph_tools
  • gridtools
  • inequality
  • ivp
  • kalman
  • lae
  • lqcontrol
  • lqnash
  • lss
  • matrix_eqn
  • quad
  • quadsums
  • rank_nullspace
  • robustlq
• Utilities
  • array
  • combinatorics
  • common_messages
  • compat
  • notebooks
  • numba
  • random
  • timing
• Contribute to QuantEcon.py
  • Set up a Conda development environment
  • Write tests
  • Write documentation
  • Further questions

Indices and tables

• Index

• Module Index

• Search Page