Decision Optimization CPLEX Modeling for Python (docplex) is officially out with version 1.0 and available to everyone for free.
With docplex (Apache License, Version 2.0.), data scientists can use their preferred scientific tools (Python, with numpy/pandas/scipy stack) to develop optimization based projects.
docplex is available thanks to a simple ‘pip install docplex’ command, and is provided with documentation and examples available on github for direct consultation or download:
This library is composed of 2 modeling packages: mp and cp, respectively for Mathematical Programming and Constraint Programming, to help you leverage our 2 engines, both on the cloud solve service with IBM Decision Optimization on the Cloud and on-premise with CPLEX Optimization studio.
Our documentation will help you setup a correct python environment if you are new to Python, and will guide you in the discovery of Optimization Technologies if you are new to Operational Research.
We also provide support for professionals thanks to our Elite Support program, starting in February.
IBM Elite Support for Decision Optimization CPLEX Modeling for Python is a technical support package for DOcplex. This offering gives you the advantage of using open software with reliable expert support from IBM. You gain the support you need to build mission-critical applications with this Python modeling package.
This Elite Support provides:
- Support for the DOcplex packages.
- Phone support at no additional cost. IBM support services are available through IBM online issue management tools or by phone, and 24×7 phone support is available for severity 1 issues.
- An efficient defect fix process. Defect submissions go through a triage process, and fixes are delivered by the IBM development team.
You can have access to our development team either through:
- our forums
- by direct email at firstname.lastname@example.org