- Anaconda Project
- An encapsulation of your data science assets to make it easily
portable. Anaconda Project automates setup, so you can quickly
share and execute projects. All Project setup can be done from the
Enterprise web interface.
- The locations of the repository where Anaconda Enterprise looks
- Classic notebook
- Refers to Jupyter Notebook, the previous version of the
browser-based interactive development environment available in
Anaconda Enterprise. It combines the notebook, file browser, text
editor, terminal and outputs in one software product. See also the
next-generation product, JupyterLab.
- 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.
- Interactive development environment (IDE)
- A suite of software tools that combines everything a developer needs
to write and test software. It typically includes a code editor,
a compiler or interpreter and a debugger that the developer accesses
through a single graphical user interface (GUI).
An IDE may be installed locally, or it may be included as part of
one or more existing and compatible applications accessed through a web
- The next-generation browser-based interactive development environment
with flexible building blocks for interactive and collaborative computing.
JupyterLab still contains the notebook, file browser, text editor,
terminal and outputs in the same product. For classic Jupyter Notebook
users, the interface for JupyterLab is familiar, but even more enjoyable
and productive to work with.
- Live notebooks
- Together, JupyterLab and the classic Jupyter Notebooks are web-based IDE
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 a comprehensive project
template that contains a set of packages and their dependencies.
Choices are Anaconda 3.6 or 3.5, Anaconda 2, R language, SAS or Spark.
- 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