Conda is a cross-platform, Python-agnostic binary package manager. It is the package manager used by Anaconda installations, but it may be used for other systems as well. Conda makes environments first-class citizens, making it easy to create independent environments even for C libraries. Conda is written entirely in Python, and is BSD licensed open source.
Conda is a part of the Anaconda distribution. You can also download a minimal installation that only includes conda and its dependencies, called :ref:`Miniconda`.
If you install Anaconda, you will already have hundreds of packages installed. You can see what packages are installed by running
$ conda list
to see all the packages that are available, use
$ conda search
and to install a package, use
$ conda install <package-name>
The real power of conda comes from its ability to manage environments. In conda, an environment can be thought of as a completely separate installation. Conda installs packages into environments efficiently using hard links by default when it is possible, so environments are space efficient, and take seconds to create.
The default environment, which conda
itself is installed into is called
root
. To create another environment, use the conda create
command. For instance, to create an environment with the IPython notebook and
NumPy 1.6, which is older than the version that comes with Anaconda by
default, you would run
$ conda create -n numpy16 ipython-notebook numpy=1.6
This creates an environment called numpy16
with the latest version of
the IPython notebook, NumPy 1.6, and their dependencies.
We can now activate this environment. On Linux and Mac OS X, use
$ source activate numpy16
This puts the bin directory of the numpy16
environment in the front of the
PATH
, and sets it as the default environment for all subsequent conda commands.
To go back to the root environment, use
$ source deactivate
You can easily build your own packages for conda, and upload them to Binstar, a free service for hosting packages for conda, as well as other package managers. To build a package, create a recipe. See http://github.com/conda/conda-recipes for many example recipes, and http://docs.continuum.io/conda/build.html for documentation on how to build recipes.
To upload to Binstar, create an account on binstar.org. Then, install the binstar client and login
$ conda install binstar
$ binstar login
Then, after you build your recipe
$ conda build <recipe-dir>
you will be prompted to upload to binstar.
To add your Binstar channel, or the channel of others to conda so that conda
install
will find and install their packages, run
$ conda config --add channels https://conda.binstar.org/username
(replacing username
with the user name of the person whose channel you want
to add).
The documentation for conda is at http://docs.continuum.io/conda/. You can subscribe to the conda mailing list. The source code and issue tracker for conda are on GitHub.
Contents:
.. toctree:: :maxdepth: 2 miniconda.rst