Python library for validating, constructing, and representing DIDs and DID Documents.
Using a virtual environment is generally recommended:
$ python -m venv env
$ source env/bin/activateInstall with pip:
$ pip install pydidThis project is managed with Poetry.
To begin making code changes, clone this repo and do the following to install dependencies:
$ python -m venv env
$ source env/bin/activate
$ pip install poetry
$ poetry installSee CONTRIBUTING.md.