Getting Started

This website consists of isolated fully described projects, runnable locally and also deployed as public examples using Anaconda Enterprise.

Download a Project

All of the examples on this website have a link to download the project. Once you have downloaded a project you can run it locally or on AE.

Run Locally

To run an example locally install anaconda-project and run the command defined in the anaconda-project file:

conda install anaconda-project=0.8.3
anaconda-project run

Don’t want to use anaconda-project?

If you don’t want to use anaconda-project, you can create a regular conda environment using:

conda env create --file anaconda-project.yml

Activate the environment (be sure to replace env-name with the real name of the environment you created):

conda activate <env-name>

Then start a jupyter notebook as usual:

jupyter notebook

NOTE: If the notebook depends on data files, you will need to download them explicitly if you don’t use anaconda-project, by extracting the URLs defined in anaconda-project.yml and saving the file(s) to this directory.

Run on AE

In addition to running examples locally you can upload and share them using Anaconda Enterprise, which is the platform we use for publishing our public deployments. If you’ve already installed anaconda-project, then for an example named “bears” just do:

cd bears
anaconda-project archive bears.zip

Then in the AE interface select “Create”, “Upload Project” and navigate to the zip file. Once your project has been created, you can deploy it.