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You can model your problems by using the Python API and solve +them on the cloud with the IBM® Decision Optimization on Cloud service or on +your computer with IBM® ILOG CPLEX Optimization Studio. + +This library is composed of 2 modules: + +* IBM® Decision Optimization CPLEX Optimizer Modeling for Python - with namespace docplex.mp +* IBM® Decision Optimization CP Optimizer Modeling for Python - with namespace docplex.cp + +Solving with CPLEX locally requires that IBM® ILOG CPLEX Optimization Studio V12.6.3 or V12.7.0 +is installed on your machine. + +Solving with the IBM Decision Optimization on Cloud service requires that you +register for an account and get the API key. + +This library is numpy friendly. + +## Install the library + +``` + pip install docplex +``` + +## Get the documentation and examples + +* [Documentation](https://github.com/IBMDecisionOptimization/docplex-doc) +* [Examples](https://github.com/IBMDecisionOptimization/docplex-examples) + +## Get your IBM® Decision Optimization on Cloud API key + +Optionally, you can run your optimization in the cloud with the IBM +Decision Optimization on Cloud service. + +- Register for the DOcplexcloud free trial and use it free for 30 days. See [Free trial](https://developer.ibm.com/docloud/try-docloud-free). + +- Get your API key + With your free trial, you can generate a key to access the DOcplexcloud API. + Visit the [Get API key & base URL](http://developer.ibm.com/docloud/docs/api-key) page to generate the key once you've registered. + This page also contains the base URL you must use for DOcplexcloud. + +- Copy/paste your API key and service URL where appropriate in the examples to be able to run them, or have a look at *Setting up an optimization engine* section of the documentation + +## Get your IBM® ILOG CPLEX Optimization Studio edition + +- You can get a free [Community Edition](http://www-01.ibm.com/software/websphere/products/optimization/cplex-studio-community-edition) + of CPLEX Optimization Studio, with limited solving capabilities in term of problem size. + +- Faculty members, research professionals at accredited institutions can get access to an unlimited version of CPLEX through the + [IBM® Academic Initiative](http://www-304.ibm.com/ibm/university/academic/pub/page/ban_ilog_programming). + +## Dependencies + +These third-party dependencies are automatically installed with ``pip`` + +- [docloud](https://pypi.python.org/pypi/docloud) +- [enum34](https://pypi.python.org/pypi/enum34) +- [futures](https://pypi.python.org/pypi/futures) +- [requests](https://pypi.python.org/pypi/requests) +- [six](https://pypi.python.org/pypi/six) + +## License + +This library is delivered under the Apache License Version 2.0, January 2004 (see LICENSE.txt).