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README.md

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# IBM® Decision Optimization Modeling for Python (DOcplex)
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Welcome to the IBM® Decision Optimization Modeling for Python.
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Licensed under the Apache License v2.0.
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With this library, you can quickly and easily add the power of optimization to
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your application. ou need IBM ILOG CPLEX Optimization Studio to solve the models.
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This library is composed of 2 modules:
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* IBM® Decision Optimization CPLEX Optimizer Modeling for Python - with namespace docplex.mp
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* IBM® Decision Optimization CP Optimizer Modeling for Python - with namespace docplex.cp
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Solving with CPLEX locally requires that IBM® ILOG CPLEX Optimization Studio V12.8 or later
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is installed on your machine.
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This library is numpy friendly.
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## Install the library
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```
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pip install docplex
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```
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## Get the documentation and examples
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* [Latest documentation](http://ibmdecisionoptimization.github.io/docplex-doc/)
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* Documentation archives:
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* [2.23.222](http://ibmdecisionoptimization.github.io/docplex-doc/2.23.222)
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* [2.22.213](http://ibmdecisionoptimization.github.io/docplex-doc/2.22.213)
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* [2.21.207](http://ibmdecisionoptimization.github.io/docplex-doc/2.21.207)
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* [2.20.204](http://ibmdecisionoptimization.github.io/docplex-doc/2.20.204)
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* [2.19.202](http://ibmdecisionoptimization.github.io/docplex-doc/2.19.202)
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* [2.18.200](http://ibmdecisionoptimization.github.io/docplex-doc/2.18.200)
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* [2.16.195](http://ibmdecisionoptimization.github.io/docplex-doc/2.16.195)
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* [Examples](https://github.com/IBMDecisionOptimization/docplex-examples)
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## Get your IBM® ILOG CPLEX Optimization Studio edition
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- You can get a free [Community Edition](https://www.ibm.com/account/reg/us-en/signup?formid=urx-20028)
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of CPLEX Optimization Studio, with limited solving capabilities in term of problem size.
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- Faculty members, research professionals at accredited institutions can get access to an unlimited version of CPLEX through the
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[IBM® Academic Initiative](http://ibm.biz/cplex-free-for-students).
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## Dependencies
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These third-party dependencies are automatically installed with ``pip``
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- [enum34](https://pypi.python.org/pypi/enum34)
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- [futures](https://pypi.python.org/pypi/futures)
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- [requests](https://pypi.python.org/pypi/requests)
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- [six](https://pypi.python.org/pypi/six)
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- [certifi](https://pypi.python.org/pypi/certifi)
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- [chardet](https://pypi.python.org/pypi/chardet)
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- [idna](https://pypi.python.org/pypi/idna)
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- [urllib3](https://pypi.python.org/pypi/urllib3)
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## License
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This library is delivered under the Apache License Version 2.0, January 2004 (see LICENSE.txt).
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# IBM® Decision Optimization Modeling for Python (DOcplex)
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Welcome to the IBM® Decision Optimization Modeling for Python.
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Licensed under the Apache License v2.0.
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With this library, you can quickly and easily add the power of optimization to
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your application. ou need IBM ILOG CPLEX Optimization Studio to solve the models.
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This library is composed of 2 modules:
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* IBM® Decision Optimization CPLEX Optimizer Modeling for Python - with namespace docplex.mp
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* IBM® Decision Optimization CP Optimizer Modeling for Python - with namespace docplex.cp
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Solving with CPLEX locally requires that IBM® ILOG CPLEX Optimization Studio V12.8 or later
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is installed on your machine.
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This library is numpy friendly.
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## Install the library
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```
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pip install docplex
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```
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## Get the documentation and examples
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* [Documentation](http://ibmdecisionoptimization.github.io/docplex-doc/)
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* [Examples](https://github.com/IBMDecisionOptimization/docplex-examples)
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## Get your IBM® ILOG CPLEX Optimization Studio edition
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- You can get a free [Community Edition](https://www.ibm.com/account/reg/us-en/signup?formid=urx-20028)
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of CPLEX Optimization Studio, with limited solving capabilities in term of problem size.
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- Faculty members, research professionals at accredited institutions can get access to an unlimited version of CPLEX through the
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[IBM® Academic Initiative](http://ibm.biz/cplex-free-for-students).
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## Dependencies
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These third-party dependencies are automatically installed with ``pip``
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- [enum34](https://pypi.python.org/pypi/enum34)
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- [futures](https://pypi.python.org/pypi/futures)
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- [requests](https://pypi.python.org/pypi/requests)
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- [six](https://pypi.python.org/pypi/six)
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- [certifi](https://pypi.python.org/pypi/certifi)
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- [chardet](https://pypi.python.org/pypi/chardet)
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- [idna](https://pypi.python.org/pypi/idna)
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- [urllib3](https://pypi.python.org/pypi/urllib3)
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## License
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This library is delivered under the Apache License Version 2.0, January 2004 (see LICENSE.txt).

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