Learn Python by Building Data Science Applications

Starting with data

It is very easy to incorporate dvc into your workflow. First, we need to install it with pip install dvc. After that, we gradually set it up. You should always start by adding the raw data to dvc. Let's assume data is collected outside of the workflow; we'll just store the files. To do so, perform the following steps:

1. First, open the Terminal (in VS Code, for example), make sure you're in the right folder—the same place where git was initialized (and therefore the .git folder is located)—and type this:

dvc init

2. If you succeed, DVC will print out a few links to documentation and offer to commit changes to git. If you type git status, you'll notice a new folder generated, .dvc, with two files in it: .gitignore and config ...