First, let's look at the definition of a project. A project is a folder that contains an anaconda-project.yml configuration file together with scripts (code), notebooks, datasets, and other files. We can add a folder into a project by adding a configuration file named anaconda-project.yml to the folder. The configuration file can include the following sections: commands, variables, services, downloads, packages, channels, and environment specifications. Data scientists can use projects to encapsulate data science projects and make them easily portable. A project is usually compressed into a .tar.bz2 file for sharing and storing.
Anaconda Project automates setup steps, so that people with whom you share projects can run ...
