Basic installation ================== The simplest way to install the Parcels code is to use Anaconda and the `Parcels conda-forge package `_ with the latest release of Parcels. This package will automatically install all the requirements for a fully functional installation of Parcels. This is the “batteries-included” solution probably suitable for most users. If you want to install the latest development version of Parcels and work with features that have not yet been officially released, you can follow the instructions for a `developer installation <#installation-for-developers>`_. The steps below are the installation instructions for Linux, macOS and Windows. **Step 1:** Install Anaconda's Miniconda following the steps at https://conda.io/docs/user-guide/install/, making sure to select the Python-3 version. If you're on Linux /macOS, the following assumes that you installed Miniconda to your home directory. **Step 2:** Start a terminal (Linux / macOS) or the Anaconda prompt (Windows). Activate the ``base`` environment of your Miniconda and create an environment containing Parcels, all its essential dependencies, and the nice-to-have cartopy and jupyter packages: .. code-block:: bash conda activate base conda install -n base conda-libmamba-solver conda config --set solver libmamba conda create -n parcels -c conda-forge parcels cartopy jupyter .. note:: The second and third line are temporarily needed to select the latest version 3.0 of Parcels. This will be fixed in the next release of conda. See `here `_ for more background information. .. note:: For some of the examples, ``pytest`` also needs to be installed. This can be quickly done with ``conda install -n parcels pytest`` which installs ``pytest`` directly into the newly created ``parcels`` environment. **Step 3:** Activate the newly created Parcels environment: .. code-block:: bash conda activate parcels **Step 4:** Download `a zipped copy `_ of the Parcels tutorials and examples and unzip it. **Step 5:** Go to the unzipped folder and run one of the examples to validate that you have a working Parcels setup: .. code-block:: bash python example_peninsula.py --fieldset 100 100 .. note:: If you are on macOS and get a compilation error, you may need to accept the Apple xcode license ``xcode-select --install``. If this does not solve the compilation error, you may want to try running ``export CC=gcc``. If the compilation error remains, you may want to check `this solution `_. *Optionally:* if you want to run all the examples and tutorials, start Jupyter and open the tutorial notebooks: .. code-block:: bash jupyter notebook .. note:: The next time you start a terminal and want to work with Parcels, activate the environment with: .. code-block:: bash conda activate parcels Installation for developers =========================== If you would prefer to have a development installation of Parcels (i.e., where the code can be actively edited), you can do so by cloning the Parcels repo, installing dependencies using the environment file, and then installing Parcels in an editable mode such that changes to the cloned code can be tested during development. **Step 1:** Install `micromamba `_, a lightweight version of conda, following the instructions `here `_. .. note:: If you prefer to work with Anaconda or Miniconda instead of Micromamba, you will have to remove the ``sel(unix):`` commands in the ``environment.yml`` file (or remove these lines altogether if you're on Windows), since conda does not (yet) support these `selectors`. After that, just replace ``micromamba`` with ``conda`` in the commands below. **Step 2:** Clone the Parcels repo and create a new environment with the dependencies: .. code-block:: bash git clone https://github.com/OceanParcels/parcels.git cd parcels micromamba env create -f environment.yml **Step 3:** Activate the environment and install Parcels in editable mode: .. code-block:: bash micromamba activate parcels pip install --no-build-isolation --no-deps -e .