Prerequisites
The Jupyter Notebook is a web-based interactive computing platform. The notebook combines live code, equations, narrative text, visualizations, interactive dashboards and other media. You code for the web. You demand a fast, clean, and powerful text editor.Pixel-perfect preview.A built-in way to open and manage your local and remote files.And maybe a dash of SSH.Say hello, Coda.
Install Python
- Download the Mac installer to your Desktop. Double-click on the modeller-9.24.dmg file to open the disk image. Double-click on the Modeller 9.24.pkg file within this image (if your Mac complains that the package is by an unidentified developer, right-click or control-click on it instead and select Open from the dropdown menu, then Open again in.
- Locate Anaconda. The first step you need to do is to locate the path of Anaconda. You will create a.
We recommend that you use Pyomo with a scientific Python distribution. Linux, Mac OS/X and other Unix variants typically have Python pre-installed. 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. See SciPy’s list of scientific Python distributions.
Install Optimization Solvers
Pyomo does not include any stand-alone optimization solvers. Consequently, most users will need to install third-party solvers to analyze optimization models built with Pyomo.
Note that Pyomo can remote launch optimization solvers on NEOS.
Installing the Latest Pyomo Release
Install Pyomo with pip
Scientific Python distributions include the pip package that is used to download and install the latest Pyomo release. The Python installation includes a bin or Scripts directory that includes a pip script. Add this directory to your PATH so you can execute the pip script. If you have administrator access, then you can install Pyomo in your system Python installation by executing the following in a shell:
INSTALLING Pyomo with CONDA
Some scientific Python distributions also include the conda package, which can also be used to download and install the latest Pyomo release. You can install Pyomo in your system Python installation by executing the following in a shell:
Installing from source
(Advanced Users and Developers) Pyomo may be installed directly from source by first cloning the main development repository from GitHub:
Then change into the “pyomo” directory that Git just created and run
Conditional Dependencies
Extensions to Pyomo, and many of the contributions in
pyomo.contrib
, also have conditional dependencies on a variety of third-party Python packages including but not limited to: numpy scipy sympy networkx openpxl pyodbc xlrd pandas matplotlib pymysql pyro4 pint
Pyomo extensions that require any of these packages will generate an error message for missing dependencies upon use.
Many of the conditional dependencies are already distributed with most scientific Python distributions. You can check which Python packages you already have installed using the command
pip list
or conda list
. Additional Python packages may be installed as needed.Getting Help
License
Pyomo is available under the BSD license. For more information, see the Pyomo License.
This post introduces how to install Miniconda on Mac.
(For installing Miniconda on Linux OS, check out this post.)
(For commonly used conda commands check this post.)
(For the comparison among Anaconda, Miniconda, and Virtualenv with pip, check this post.)
Step 1: download Miniconda (bash installer) from
see the highlighted in the pic below.
A file called Miniconda3-latest-MacOSX-x86_64.sh will be shown in your Downloads folder.
Step 2: Open a Terminalwindow.
(If you don’t know how to open a terminal window, through lauchpad type in Terminal, you will see the application.)
In the terminal window, type in
Step 3: run the bash “shell” script to install Miniconda
In the terminal window, type in the following.
Scroll through the license (press the Space bar or Enter to move through quickly), type ‘yes’ to approve the terms, and then accept all the installation defaults.
Step 4: Close the Terminal window, and open a new Terminal window.
in the newly opened Terminal window.
Type the following:
If you see something like the following, it means you have successfully installed conda via miniconda on your Mac.
conda 4.5.11
Step 5: Uninstalling Miniconda
To uninstall Python Anconda/Miniconda, we just simply remove the installation folder and remove the environment variables set in the hidden file .bash_profile in your home directory. For my installation, it will be just like this.
Then, you can edit the .bash_profile file and remove the following entries added for Anaconda/Miniconda directory from your PATH environment variable.
If you do not know where the hidden .bash_profile is located and how to edit it, see below for detailed instructions.
(1) Open a new terminal and go to your home directory. You can do this by using the command below.
(2) use the following command to list all files, including hidden files in your home directory.
Download Conda Mac Download
(3) Use the
cat
command to see the contents of the hidden file .bash_profile. Type the following command into your terminal.You will see something like the following (depends on what you installed, if you installed Miniconda3, you will only see the first two lines. If you installed Anaconda3, you will see the bottom two lines.
(4) To remove installed Miniconda/Anaconda from your .bash_profile use the command below to edit the file using the nano editor.
Download Conda Mac
Remove the Miniconda /Anoconda path in your .bash_profile hidden file.
Then Type control + X to exit out of nano
Save changes by typing Y.
Close the terminal, and now Miniconda/Anaconda should be successfully uninstalled from your Mac.
(Tested on macOS Mojave. Note that you can install Miniconda onto your Mac even when you are not an admin user.)
For commonly used conda commands check this post.
Download Conda Mac Os
For the comparison among Anaconda, Miniconda, and Virtualenv with pip, check this post.