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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

Metadata

Release files for person-linkage-case-study 0.0.2

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for person-linkage-case-study 0.0.2
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Built distribution (wheel)

Table of built distributions (wheels) for person-linkage-case-study 0.0.2
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person_linkage_case_study-0.0.2-py3-none-any.whl Python 3 none any Details

Total release size: 35.4 MB

Release files / person_linkage_case_study-0.0.2.tar.gz

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0.1.0

2 release files

This release

0.0.2 This release

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0.0.1

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