Project description

Family Parkrun Summary

To use:

Ensure you have Python installed.
Create a file containing a newline-separated list of runner ID numbers. These are the numbers at the end of the URL for their personal page.
Run family-parkrun with the -d argument, followed by the filename of your runner list, and wait for it to download.
```
python family-parkrun -d runners.txt
```
View summary.html in your browser.

These details have not been verified by PyPI

View statistics for this project via Libraries.io, or by using our public dataset on Google BigQuery

This version

0.0.4

Feb 12, 2023

0.0.3

Aug 27, 2022

0.0.2

Aug 7, 2022

0.0.1

Aug 7, 2022

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

Uploaded Feb 12, 2023 Source

Uploaded Feb 12, 2023 Python 3

Hashes for family_parkrun-0.0.4.tar.gz
Algorithm	Hash digest
SHA256	`ab5973ec603eb7f1ee7c1c3a5e7668f9e3e36f4091a2a1171e3ff3629b485fc0`
MD5	`f7a113250f0263a844486bfd07ca78a7`
BLAKE2b-256	`4252e1defc5daccb4f78f7a5afd5856dd60f9ffefa945a94943e3ab22b1235d5`

Hashes for family_parkrun-0.0.4-py3-none-any.whl
Algorithm	Hash digest
SHA256	`03b3193328ca098e2c3eb1d4b4574e0e3dd99e1034964ee899bfad88307ded6a`
MD5	`5e2e6c1a9c478d0268148ff189f002ef`
BLAKE2b-256	`c81e9615273e4b7b569615c8f8cec1e0a3a588c693d7abbcaddd5c2eb5abddc8`