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Copy file name to clipboardexpand all lines: 0.4/_sources/tutorials/getting-started-gurobipy.ipynb.txt
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"- Python version, compatible with the Pyomo and Gurobipy modeling languages,\n",
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"- Julia version, compatible with the JuMP modeling language.\n",
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"\n",
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"In this tutorial, we will demonstrate how to use and install the Python/Gurobipy version of the package. The first step is to install Python 3.8+ in your computer. See the [official Python website for more instructions](https://www.python.org/downloads/). After Python is installed, we proceed to install MIPLearn using `pip`:\n",
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"In this tutorial, we will demonstrate how to use and install the Python/Gurobipy version of the package. The first step is to install Python 3.9+ in your computer. See the [official Python website for more instructions](https://www.python.org/downloads/). After Python is installed, we proceed to install MIPLearn using `pip`:\n",
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"\n",
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"```\n",
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"$ pip install MIPLearn==0.4\n",
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"```\n",
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"\n",
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"In addition to MIPLearn itself, we will also install Gurobi 10.0, a state-of-the-art commercial MILP solver. This step also install a demo license for Gurobi, which should able to solve the small optimization problems in this tutorial. A license is required for solving larger-scale problems.\n",
Copy file name to clipboardexpand all lines: 0.4/_sources/tutorials/getting-started-pyomo.ipynb.txt
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"- Python version, compatible with the Pyomo and Gurobipy modeling languages,\n",
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"- Julia version, compatible with the JuMP modeling language.\n",
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"\n",
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"In this tutorial, we will demonstrate how to use and install the Python/Pyomo version of the package. The first step is to install Python 3.8+ in your computer. See the [official Python website for more instructions](https://www.python.org/downloads/). After Python is installed, we proceed to install MIPLearn using `pip`:\n",
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"In this tutorial, we will demonstrate how to use and install the Python/Pyomo version of the package. The first step is to install Python 3.9+ in your computer. See the [official Python website for more instructions](https://www.python.org/downloads/). After Python is installed, we proceed to install MIPLearn using `pip`:\n",
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"\n",
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"```\n",
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"$ pip install MIPLearn==0.4\n",
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"```\n",
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"\n",
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"In addition to MIPLearn itself, we will also install Gurobi 10.0, a state-of-the-art commercial MILP solver. This step also install a demo license for Gurobi, which should able to solve the small optimization problems in this tutorial. A license is required for solving larger-scale problems.\n",
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