Skip to main content

Person linkage case study for PyPI.

Project description

Person linkage case study (for PyPI)

If you have access to GitHub, we recommend installing from https://github.com/ihmeuw/person_linkage_case_study. This package is provided only for the convenience of users who cannot access GitHub.

Getting started

Before you start, you'll need to have Python installed. If you intend to use Spark, you'll also need Spark 3.4 to be installed on your system.

First, make a directory to use for development. Inside this directory, create and enter a virtual environment for this project:

$ python -m venv .venv
$ source .venv/bin/activate

and install this package:

$ pip install person_linkage_case_study

Your new working directory for interacting with the case study will be inside this venv. Specifically:

$ cd .venv/lib/python3.*/site-packages/person_linkage_case_study

To test that things are set up correctly, try running:

$ snakemake --forceall

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

person_linkage_case_study-0.0.2.tar.gz (17.6 MB view hashes)

Uploaded Source

Built Distribution

person_linkage_case_study-0.0.2-py3-none-any.whl (17.8 MB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page