Loud

For example, if you ever need to store mutating data in a series of snapshots, Git may be just what you need. It’s fast, efficient, and offers a large array of command-line tools for examining and mutating the resulting data store.

To support this kind of usage – for the upcoming purpose of maintaining issue tracking data in a Git repository – I’ve created a Python class that wraps Git as a basic shelve object.

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