- Anaconda Notebooks
- A Jupyter or JupyterLab Notebook that has been created in
Anaconda Enterprise with additional functionality. It includes
a web interface for creating and editing commands and for managing
the project with Anaconda Project.
- Anaconda Project
- An encapsulation of your data science assets to make it easily
portable. Anaconda Project automates setup, so you can easily
share and execute projects. All Project setup can be done from the
Enterprise web interface.
- The locations of the repository where Anaconda Enterprise looks
- A deployed Anaconda Project. When you deploy a project, Enterprise finds and
builds all of the software dependencies–the programs on which the Project
depends in order to run–and encapsulates them so they are completely self-
contained. This allows you to easily share the application with others.
- Interactive data applications
- Visualizations with sliders,
drop-downs and other widgets that allow users to interact with
them. Interactive data applications can drive new computations,
update plots and connect to other programmatic functionality.
- Live notebooks
- JupyterLab and the classic Jupyter Notebooks are web applications
that allows you to create and share documents that contain live
code, equations, visualizations and explanatory text. See also
- Software files and information about the software, such as its name, the
specific version and a description, that are bundled into a file that can
be installed and managed by a package manager.
- Project templates
- When creating a new project, you can select the version of
Python 2 or 3, R or Spark from the project templates and have
the Project up and running with just a few clicks.
- REST APIs
- A common way to operationalize machine learning models is
through REST APIs. REST APIs are callable URLs which provide
results based on a query. This allows developers to make their
applications intelligent without having to write models