PyViz Topics Examples
This project contains self-contained, typically domain-specific examples illustrating how to use one or more PyViz tools to explore data or understand a topic. Each project is fully reproducible by downloading and running it locally, and can also be deployed automatically using an Anaconda Enterprise server.
conda install anaconda-project=0.8.3 anaconda-project run
Don't want to use anaconda-project?
anaconda-project is a handy way to automate a project, but if you don't want to use it, you can create a regular conda environment using:
conda env create --file anaconda-project.yml
Then 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:
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 the appropriate location in this directory.
Uploading to AE
In addition to running examples locally you can upload and share them using Anaconda Enterprise, which is the platform we use for publishing the 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.
Running on Binder
To experiment in a running environment, you can use binder:
Since the data involved is sometimes rather large, full datasets are not available on binder, but small versions of the datasets are included in the environment so that you can test things out.