ContributingĬontributions to conda are welcome. The sourceĬode and issue tracker for conda are on GitHub. (replacing username with the user name of the person whose channel you want #Install anaconda for mac docs.contiuum install#That conda install will find and install their packages, run $ conda config -add channels To add your channel, or the channel of others to conda so Then, after you build your recipe $ conda build Then, install theĪnaconda-client and login $ conda install anaconda-client Packages for conda, as well as other package managers. You can easily build your own packages for conda, and upload them #Install anaconda for mac docs.contiuum mac os x#To go back to the root environment, use # On Linux and Mac OS X PATH, and sets it as the default environment for all subsequent conda commands. This puts the bin directory of the numpy16 environment in the front of the We can now activate this environment, use # On Linux and Mac OS X The IPython notebook, NumPy 1.6, and their dependencies. This creates an environment called numpy16 with the latest version of NumPy 1.6, which is older than the version that comes with Anaconda byĭefault, you would run $ conda create -n numpy16 ipython-notebook numpy = 1.6 For instance, to create an environment with the IPython notebook and To create another environment, use the conda createĬommand. The default environment, which conda itself is installed into is called InĬonda, an environment can be thought of as a completely separate installation.Ĭonda installs packages into environments efficiently using hard links by default when it is possible, soĮnvironments are space efficient, and take seconds to create. The real power of conda comes from its ability to manage environments. To see all the packages that are available, use $ conda searchĪnd to install a package, use $ conda install You can see what packages are installed by running $ conda list If you install Anaconda, you will already have hundreds of packages Minimal installation that only includes conda and its dependencies, called InstallationĬonda is a part of the Anaconda distribution. Conda is written entirely in Python, and is BSD licensed openĬonda is enhanced by organizations, tools, and repositories created and managed by the amazing members of the conda community. Conda makes environments first-classĬitizens, making it easy to create independent environments even for C Package manager used by Anaconda installations, but it may be Conda is a cross-platform, Python-agnostic binary package manager.
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