Skip to main content

A collection of archery-focused calculation methods

Project description

pybow

pybow is a Python library collecting calculation methods related to archery.

Purpose

pybow aims to (eventually) be a comprehensive collection of tools for archaeologists, data scientists, and maths-headed archery and bowyery enthusiasts.

To this end, pybow provides the pb.Bow object as a convenient way to describe bows by their measurements and bundled metadata, as well as implementations of analysis methods from scientific literature for easy reuse.

Eventually, the collection of methods shall be expanded, and complemented by tools helping in bow construction.

Implemented Methods and Tools

  • Analysis method of Beckhoff, from Beckhoff, K 1964, ‘Der Eibenbogen von Vrees’, Die Kunde N.F. 15 pp. 113–125
  • Analysis method of Junkmanns, from Junkmanns, J 2013, Pfeil und Bogen, Verlag Angelike Hörnig, Ludwigshafen.

Code & Installation

pybow’s source code is hosted at this Gitlab repo: https://gitlab.com/gekitsu/pybow

Installation from PyPi via pip:

$ pip install pybow

Dependencies

pybow has the following dependencies:

  • numpy
  • pandas
  • ruamel.yaml

Documentation

pybow documentation is hosted on readthedocs: https://pybow.readthedocs.io/

Changelog

  • 0.1.0: Initial release.
    • the pb.Bow object for describing bows in Python
    • analysis methods: beckhoff1964() & junkmanns2013()

Project details


Release history Release notifications | RSS feed

This version

0.1

Download files

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

Files for pybow, version 0.1
Filename, size File type Python version Upload date Hashes
Filename, size pybow-0.1-py3-none-any.whl (17.8 kB) File type Wheel Python version py3 Upload date Hashes View
Filename, size pybow-0.1.tar.gz (15.7 kB) File type Source Python version None Upload date Hashes View

Supported by

AWS AWS Cloud computing Datadog Datadog Monitoring DigiCert DigiCert EV certificate Facebook / Instagram Facebook / Instagram PSF Sponsor Fastly Fastly CDN Google Google Object Storage and Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Salesforce Salesforce PSF Sponsor Sentry Sentry Error logging StatusPage StatusPage Status page