Constraint Programming Modeling for Python (DOcplex.CP)¶
Welcome to the Constraint Programming Modeling for Python feature of IBM Decision Optimization CPLEX Modeling for Python, (DOcplex.CP).
With this library, you can quickly and easily add the power of optimization to your application. You can model your problems by using the Python API and solve them on your computer with IBM ILOG CPLEX Optimization Studio, or on the cloud with the IBM Decision Optimization on Cloud service.
You can read more about IBM ILOG CPLEX Optimization Studio here and its free Community Edition here.
This API is licensed under the Apache License, Version 2.0.
What is Decision Optimization?¶
Constraint Programming Modeling for Python (docplex.cp)¶
- Getting started with constraint programming in DOcplex
- Creating a constraint programming model
- Solving a model
- Advanced configuration
- Examples of constraint programming
- docplex.cp reference manual
- Module docplex.cp.model
- Module docplex.cp.expression
- Module docplex.cp.modeler
- Module docplex.cp.function
- Module docplex.cp.parameters
- Module docplex.cp.solution
- Module docplex.cp.config
- Module docplex.cp.solver.solver
- Module docplex.cp.solver.solver_listener
- Module docplex.cp.solver.cpo_callback
- Module docplex.cp.blackbox
- Module docplex.cp.fzn.fzn_parser
- Module docplex.cp.utils
- Module docplex.cp.utils_visu
- Module docplex.util.environment
- Indices and tables
Contacts¶
- Need help with docplex or to report a bug? Please go to the IBM Data Science Community home
- Contact us at dofeedback@wwpdl.vnet.ibm.com.