Python setup.py dependencies -extra optional Matplotlib networkx numpy openpyxl pandas pint pymysql pyodbc pyro4 scipy sympy xlrdĪ full list of conditional dependencies can be found in Pyomo's setup.py and displayed using: Then change into the “pyomo” directory that Git just created and run python setup.py install Conditional DependenciesĮxtensions to Pyomo, and many of the contributions in ntrib, often have conditional dependencies on a variety of third-party Python packages including but not limited to: (Advanced Users and Developers) Pyomo may be installed directly from source by first cloning the main development repository from GitHub: git clone You can install Pyomo in your system Python installation by executing the following in a shell: conda install -c conda-forge pyomo Installing from source

Some scientific Python distributions also include the conda package, which can also be used to download and install the latest Pyomo release. If you have administrator access, then you can install Pyomo in your system Python installation by executing the following in a shell: pip install pyomo INSTALLING Pyomo with CONDA Add this directory to your PATH so you can execute the pip script. The Python installation includes a bin or Scripts directory that includes a pip script. Scientific Python distributions include the pip package that is used to download and install the latest Pyomo release. Installing the Latest Pyomo Release Install Pyomo with pip Note that Pyomo can remote launch optimization solvers on NEOS. Consequently, most users will need to install third-party solvers to analyze optimization models built with Pyomo. Pyomo does not include any stand-alone optimization solvers. See SciPy’s list of scientific Python distributions. However, scientific Python distributions that contain the SciPy Stack include many utilities that Pyomo users will find useful, including SciPy optimizers and MatplotLib plotting capabilities.

Linux, Mac OS/X and other Unix variants typically have Python pre-installed. We recommend that you use Pyomo with a scientific Python distribution.

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