ssscoring

Speed Skydiving Scoring tools package for processing FlySight v1 and v2 CSV data files.

This library relies on NumPy and pandas. When running in a Lucyfer notebook or in Streamlit.io, it also requires the Bokeh plotting library.

Installation

pip install -U ssscoring

Source code

You are welcome to fork SSScoring on GitHub. You will need Python 3.9 or later, pandas, and NumPy as minimum requirements.

You may study or download the latest stable source files at:

https://github.com/pr3d4t0r/SSScoring/tree/master/ssscoring

 1# See: https://github.com/pr3d4t0r/SSScoring/blob/master/LICENSE.txt
 2
 3"""
 4Speed Skydiving Scoring tools package for processing FlySight v1 and v2 CSV data
 5files.
 6
 7This library relies on NumPy and pandas.  When running in a Lucyfer notebook or
 8in Streamlit.io, it also requires the Bokeh plotting library.
 9
10
11## Installation
12
13```bash
14pip install -U ssscoring
15```
16
17## Source code
18
19You are welcome to **<a href='https://github.com/pr3d4t0r/SSScoring' target='_new'>fork SSScoring</a>**
20on GitHub.  You will need Python 3.9 or later, pandas, and NumPy as minimum
21requirements.
22
23You may study or download the latest stable source files at:
24
25<a href='https://github.com/pr3d4t0r/SSScoring/tree/master/ssscoring' target='_new'>https://github.com/pr3d4t0r/SSScoring/tree/master/ssscoring</a>
26"""
27
28import importlib.metadata
29
30
31__VERSION__ = importlib.metadata.version('ssscoring')
32"""
33@public
34"""
__VERSION__ = '2.1.6'