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Step one: Download and install Anaconda
Installing the conda Package Management Tool The conda package management tool is part of the Anaconda software package. Install conda by navigating to the. Scroll down to the “Anaconda for OS X” portion of the web page. Download the Python 3.5 version by clicking on the “Mac OS X 64 bit Graphical Installer” link. Getting Going with Python on Mac OS X. The aim of this web page is to help you get started with Python on Mac OS X. We will explain what a package management tool is, how to download conda package management tool via the Anaconda installer, and guide you on the OS X Terminal application so that you can use conda from the. Anaconda for Mac Once the download has completed, double click on the downloaded.pkg file and follow the installation instructions. Once the install is complete, and once you close your current terminal and open a new one, typing python in your terminal window.
Gurobi supports Python 2.7 and 3.7 for Mac. Choose the version of Anaconda you wish to download:
Once the download has completed, double click on the downloaded .pkg file and follow the installation instructions. Once the install is complete, and once you close your current terminal and open a new one, typing python in your terminal window should invoke the Anaconda Python interpreter:
Type quit() in Python to return to the terminal.
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Step two: Install Gurobi into Anaconda
The next step is to install the Gurobi package into Anaconda. You do this by first adding the Gurobi channel into your Anaconda platform and then installing the gurobi package from this channel. From an Anaconda terminal issue the following command to add the Gurobi channel to your default search list:
Now issue the following command to install the Gurobi package:
You can remove the Gurobi package at any time by issuing the command:
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Step three: Install a Gurobi License
The third step is to install a Gurobi license (if you haven’t already done so). You are now ready to use Gurobi from within Anaconda. Your next step is to launch either the Spyder IDE or Jupyter Notebook.