This is the recommended way to start a new environment (see below: “Warning about mpich2, mpi4py and readline”).
The following example shows you how to clone an existing environment, namely the “root” environment, which is the default environment you access when you load the anaconda module.
The next example shows you how to start a new environment from scratch, and for that example we install Python 3.4 along with numpy, scipy and matplotlib. First we show you how to find and activate existing environments. So installing hard-to-compile dependencies is a simple process of downloading the pre-compiled versions (using the conda tool).īelow we provide several examples of initializing new conda environments.
This requires installing all of the Python packages required to run your code for each anaconda environment.
The distribution includes a set of core python packages and additional user packages can be installed from remote “channels”. It has gained traction for ease of packaging and replicating modules or entire python environments on different systems. Anaconda is a free package and environment manager for python distributed by Continuum Analytics.