Continuum Analytics: Documentation

# Reference (AER 2.24)

## How To...

### Use packages

#### Find a package

In your browser, you can search Anaconda Repository for packages by package name. From the search box in the top navigation bar of any page, enter the package name. You can filter your searches to specify only conda or PyPI packages, and you can sort results by number of favorites or number of downloads by clicking the search results column heading.

#### Download and install a package from Anaconda Repository

To install a conda package, in your terminal window run:

    conda install -c username packagename

Conda expands “username” to a URL such as `https://<your-anaconda-repo>/username` based on the settings in the .condarc file.

#### Download and install a PyPI package from Anaconda Repository

To install a PyPI package, in your terminal window run:

    pip install --index-url pypi.anaconda.org/USERNAME/simple packagename

### Use the anaconda-client CLI

#### Install anaconda-client

The anaconda-client command line interface (CLI) is available via conda or pip. See installation and setup instructions.

#### Find my anaconda-client login credentials

Your login credentials for anaconda-client are the same as those you used to create an account on Anaconda Repository. For help, in a browser window, navigate to your Anaconda Repository Sign In tab and click “forgot password.”

#### Log into anaconda-client

After you have downloaded and configured anaconda-client, open a terminal window and run:

    anaconda login

#### See a list of anaconda-client commands

From a terminal window, run:

    anaconda --help

#### Find out more about an anaconda-client command

From a terminal window, run:

    anaconda COMMANDNAME -h

#### See a list of all available anaconda-client configuration files

From a terminal window, run:

    anaconda config --files

#### See a list of all of my anaconda-client configuration variables

From a terminal window, run:

    anaconda config --show

#### Find out more about the anaconda-client

If you have a question that you cannot answer using the help command or documentation, contact your site administrator who has access to enterprise priority support.

### Build packages

#### Build and upload a package

For a quick run-through, try the Quickstart build guide section.

#### Test a built package

Specify the ‘–use-local’ option. For example:

    conda create --use-local -n test PACKAGENAME

#### Upload a package to Anaconda Repository

In a terminal window, run:

    anaconda upload PACKAGENAME

#### Find help uploading packages

For a complete list of upload options, including specifying a package’s channel, label, availability to other users, and metadata, in a terminal window, run:

    anaconda upload -h

## FAQ

### General Questions

#### What is Anaconda Repository?

Anaconda Repository is private package management server software. Anaconda Repository makes it easy to find, access, store and share public and private notebooks, environments, and conda and PyPI packages, and to keep up with updates made to the packages and environments you need.

#### What kind of packages does Anaconda Repository support?

Anaconda Repository supports any type of package. It is primarily used for conda, PyPI and R packages, as well as notebooks and environments.

#### What is Continuum Analytics?

Continuum Analytics is a software development and consulting company of passionate open source advocates based in Austin, Texas, USA. We are committed to the open source community. We created the Anaconda Python distribution and contribute to many other open source-based data analytics tools. You can find out more about us here.

#### How do I get started with Anaconda Repository?

If you have access to Anaconda Repository, you can search, download and install hundreds of “public” packages without even having an account.

If you wish to upload packages to Anaconda Repository, you will need to sign up for an Anaconda Repository account. See our Using Anaconda Repository section for more help or ask your administrator.

#### What is an organization account, and how is it different from an individual account?

An organization account allows multiple individual users to administer packages and have more control of package access by other users. An individual account is for use by one person.

## Glossary

### Anaconda

An easy-to-install, free collection of Open Source packages, including Python and the conda package manager. Over 150 packages are installed with Anaconda. The Anaconda Repository contains over 250 additional Open Source packages that can be installed or updated after installing Anaconda with the `conda install PACKAGENAME` command.

### Anaconda Repository

Anaconda Repository hosts hundreds of useful Python packages, notebooks and environments for a wide variety of applications. You don’t need to have an Anaconda Repository account, or to be logged in, to search for packages, download and install them.

### Anaconda-Client CLI

The Anaconda-Client command line interface (CLI) allows you to log into Anaconda Repository directly from your terminal window and manage your account. It is not necessary for downloading or installing packages from Anaconda Repository.

### Labels

The URLs on Anaconda Repository where conda looks for packages. Using the Anaconda-Client CLI in a terminal window, package developers can create additional labels such as development (labels/dev) test (labels/test) or other labels which will be searched only if the user specifies the label.

`https://<your-anaconda-repo>/travis/labels/main` - the label searched by default

`https://<your-anaconda-repo>/travis` - same as default label with “main” implicit

`https://<your-anaconda-repo>/travis/labels/dev` - contains the packages in development

`https://<your-anaconda-repo>/travis/labels/test` - contains packages ready to test

`https://<your-anaconda-repo>/travis/labels/any-custom-label` - any label you wish to use.

### Conda

The conda package manager and environment manager program that installs and updates packages and their dependencies, and lets you easily switch between environments on your local computer.

### Conda-Build

The command line interface that lets you build packages for your local operating system.

### Conda package

A tarball (compressed file) containing system-level libraries, Python modules, executable programs, or other components.

### Miniconda

A minimal installer for conda. Like Anaconda, Miniconda is a software package that includes the conda package manager and Python and its dependencies, but does not include any other packages. Once conda is installed by installing either Anaconda or Miniconda, other software packages may be installed directly from the command line with ‘conda install’. See also Anaconda and conda.

### Noarch package

A conda package that contains nothing specific to any system architecture, so it may be installed on any system. When conda does a search for packages on any system in a channel, conda always checks both the system-specific subdirectory, for example, `linux-64` and the `noarch` directory.

### OnSite

Anaconda Repository is powered by Anaconda Server by Continuum Analytics. Run your own Anaconda server behind firewalls or in air-gapped environments. Contact sales@continuum.io for more information.

### Organization

An organization account is a type of account on Anaconda Repository that allows multiple individual users to administer packages and control package access to different user groups. It also includes a large amount of storage space.

### Repository

A storage location from which software packages may be retrieved and installed on a computer.

### Source package

“Source” packages are source code only, not yet built for any specific platform, and might be compatible with all, some, or only one of the platforms.

### Token

A token (or authentication token) is the mechanism by which anonymous users can download private packages without using an Anaconda Repository account. It is an alpha-numeric code that is inserted into a URL that allows access by anyone who has the URL. You can use anaconda-client to generate new tokens to give other users specifically scoped access to packages and collections.

### User Namespace

The part of Anaconda Repository where a user or organization may host packages. For example, the user namespace `https://<your-anaconda-repo>/travis` contains packages that were uploaded and shared by the user named Travis.