The Conda Runtime Configuration file, an optional
that allows you to configure many aspects of conda, such as which
channels it searches for packages, proxy settings and environment
.condarc file is not included by default, but
it is automatically created in your home directory
when you use the
conda config command. The
can also be located in a root environment, in which case it
.condarc in the home directory. For more
information, see Using the .condarc conda configuration file
and Administering a multi-user conda installation.
Pronounced “conda r-c”.
Conda commands used to switch or move between installed
activate command prepends the path of your
current environment to the PATH environment variable so that you
do not need to type it each time.
deactivate removes it.
Even when an environment is deactivated, you can still execute
programs in that environment by specifying their paths directly,
~/anaconda/envs/envname/bin/program_name. When an
environment is activated, you can execute the program in that
environment with just
envname with the name of the environment and
program_name with the name of the program.
A downloadable, free, open source, high-performance and optimized
Python and R distribution. Anaconda includes
conda, conda build, Python and 100+
automatically installed, open source scientific packages and
their dependencies that have been tested to work well together,
including SciPy, NumPy and many others. Use the
conda install command
to easily install 1,000+ popular open source packages
for data science—including advanced and scientific
analytics—from the Continuum repository. Use the
command to install thousands more open source packages.
Because Anaconda is a Python distribution, it can make installing Python quick and easy even for new users.
Available for Windows, macOS and Linux, all versions of Anaconda are supported by the community.
A web-based repository hosting service in the cloud. Packages created locally can be published to the cloud to be shared with others. Free accounts on Cloud can publish packages to be shared publicly. Paid subscriptions to Cloud can designate packages as private to be shared with authorized users. Anaconda Cloud is a public version of Continuum’s Anaconda Repository.
The locations of the repositories where conda looks for packages.
Channels may point to a Cloud repository or a private
location on a remote or local repository that you or your organization
conda channel command has a default set of channels to
search, beginning with https://repo.continuum.io/pkgs/, which you may
override, for example, to maintain a private or internal channel.
These default channels are referred to in conda commands and in
.condarc file by the channel name “defaults.”
The package and environment manager program bundled with Anaconda that installs and updates conda packages and their dependencies. Conda also lets you easily switch between conda environments on your local computer.
A folder or directory that contains a specific collection of conda packages and their dependencies, so they can be maintained and run separately without interference from each other. For example, you may use a conda environment for only Python 2 and Python 2 packages, maintain another conda environment with only Python 3 and Python 3 packages, and maintain another for R language packages. Environments can be created from:
The Navigator GUI.
The command line.
An environment specification file with the name
your-environment-namewith the name of your environment.
A compressed file that contains everything that a software program needs in order to be installed and run, so that you do not have to manually find and install each dependency separately. A conda package includes system-level libraries, Python or R language modules, executable programs and other components. You manage conda packages with conda.
A cloud-based repository that contains 720+ open source certified
packages that are easily installed locally with the
conda install command. Anyone can access the repository from:
- The Navigator GUI.
- A terminal or command prompt using conda commands.
A conda package that only lists dependencies and does not include
any functional programs or libraries. The metapackage may contain
links to software files that are automatically downloaded when
executed. An example of a metapackage is “anaconda,” which
collects together all the packages in the Anaconda installer.
conda create -n envname anaconda creates an
environment that exactly matches what would be created from the
Anaconda installer. You can create metapackages with the
conda metapackage command.
A free minimal installer for conda. Miniconda is a small, bootstrap
version of Anaconda that includes only conda, Python, the
packages they depend on and a small number of other useful
packages, including pip, zlib and a few others. Use the
conda install command to install 720+ additional conda
packages from the Continuum repository.
Because Miniconda is a Python distribution, and it can make installing Python quick and easy even for new users.
A conda package that contains nothing specific to any system
architecture, so it may be installed from any system. When conda
searches for packages on any system in a channel, conda checks
both the system-specific subdirectory, such as
noarch directory. Noarch is a contraction of “no architecture”.
A collection of software tools that automates the process of installing, updating, configuring and removing computer programs for a computer’s operating system. Also known as a package management system. Conda is a package manager.
Software files and information about the software, such as its name, the specific version and a description, bundled into a file that can be installed and managed by a package manager.