Mac OS X¶
- Download and install Miniconda using the following instructions https://conda.io/docs/user-guide/install/macos.html
- Open Terminal to execute the following commands.
- Add the conda-forge channel
conda config --add channels conda-forge
The conda-forge channel provides multitude of community maintained packages. Find out more about it here https://conda-forge.org/
- Create a virtual environment in conda
conda create --name cubeenv python=3.6 datacube
- Activate the virtual environment
source activate cubeenv
Find out more about managing virtual environments here https://conda.io/docs/using/envs.html
- Install other packages
conda install jupyter matplotlib scipy
Find out more about managing packages here https://conda.io/docs/using/pkgs.html
Datacube is now installed and can be used in Terminal by activating the cubeenv environment.
Manual Installation (Fallback)¶
Only follow these steps if the Miniconda installation does not suit your needs.
This section was typed up from memory. Verification and input would be appreciated.
See also Mac and Homebrew install instructions.
/usr/bin/ruby -e "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/master/install)"
HDF5, netCDF4, and GDAL:
brew install hdf5 netcdf gdal
Python and packages¶
Python 3.5+ is required (3.6 is recommended)
Download the latest version of the software from the repository and install it:
git clone https://github.com/opendatacube/datacube-core cd datacube-core git checkout develop python setup.py install
It may be useful to use conda to install binary packages:
conda install psycopg2 gdal libgdal hdf5 rasterio netcdf4 libnetcdf pandas
Usage of virtual environments is recommended