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CVXPY supports Python 3 on Linux, macOS, and Windows. You can usepip or conda for installation. You may want to isolateyour installation in a virtualenv,or a conda environment.

pip¶

(Windows only) Download the Visual Studio build tools for Python 3(download,install instructions).

(macOS only) Install the Xcode command line tools.

(optional) Create and activate a virtual environment Fl studio 12.4.2 mac download.

  1. Install cvxpy.

  1. Test the installation with pytest.

conda¶

conda is a system for package and environment management.

(Windows only) Download the Visual Studio build tools for Python 3. Macbook pro a1278 recovery disk download.

  1. Install conda.

  2. Create a new conda environment,

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  1. Install cvxpy from conda-forge

  2. Test the installation with pytest.

Install from source¶

We strongly recommend using a fresh virtual environment (virtualenv or conda) when installing CVXPY from source.

CVXPY has the following dependencies:

  • Python 3.5, 3.6, or 3.7.

  • ECOS >= 2

  • SCS >= 1.1.3

  • NumPy >= 1.15

  • SciPy >= 1.1.0

To test the CVXPY installation, you additionally need pytest.

CVXPY automatically installs OSQP, ECOS, SCS. NumPy andSciPy will need to be installed manually,as will Swig . Once you’ve installed these dependencies, perform the following steps:

  1. Clone the official CVXPY git repository, or a newly minted fork of the CVXPY repository.

  2. Navigate to the top-level of the cloned directory.

  3. If you want to use CVXPY with edited source code, run

    otherwise, run

Install with CVXOPT and GLPK support¶

CVXPY supports the CVXOPT solver.Additionally, through CVXOPT, CVXPY supports the GLPK solver. On mostplatforms,CVXOPT comes with GLPK bundled. On such platforms, installing CVXOPT with

should suffice to get support for both CVXOPT and GLPK.

On other platforms, to install CVXPY and its dependencies with GLPK support, follow these instructions:

  1. Install GLPK. We recommend either installing the latest GLPK from source or using a package manager such as apt-get on Ubuntu and homebrew on OS X.

  2. Install CVXOPT with GLPK bindings.

  3. Follow the standard installation procedure to install CVXPY and its remaining dependencies.

Install with GUROBI support¶

CVXPY supports the GUROBI solver.Install GUROBI version 7.5.2 or greater such that you can importgurobipy in Python.See the GUROBI website for installation instructions.

Install with MOSEK support¶

CVXPY supports the MOSEK solver.Simply install MOSEK such that you can importmosek in Python.See the MOSEK website for installation instructions. Apache directory server.

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Install with XPRESS support¶

CVXPY supports the FICO Xpress solver.Simply install XPRESS such that you can importxpress in Python.See the Xpress Python documentation pages for installation instructions.

Install with Cbc (Clp, Cgl) support¶

CVXPY supports the Cbc solver (which includes Clp and Cgl) with the help of cylp.Simply install cylp (you will need the Cbc sources which includes Cgl) such you can import this library in Python.See the cylp documentation for installation instructions.

Install with CPLEX support¶

CVXPY supports the CPLEX solver.Simply install CPLEX such that you can importcplex in Python.See the CPLEX website for installation instructions.

Install with SDPT3 support¶

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The sdpt3glue package allows you to model problems with CVXPY and solve them with SDPT3.

Install with NAG support¶

CVXPY supports the NAG solver.Simply install NAG such that you can importnaginterfaces in Python.See the NAG website for installation instructions.

Install with SCIP support¶

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CVXPY supports the SCIP solver.Simply install SCIP such that you can frompyscipopt.scipimportModel in Python.See the PySCIPOpt github for installation instructions.

CVXPY’s SCIP interface does not reliably recover dual variables for constraints. If you require dual variables for a continuous problem, you will need to use another solver. We welcome additional contributions to the SCIP interface, to recover dual variables for constraints in continuous problems.