splinekit 0.2.7

A set of functions and classes to handle periodic 1D polynomial splines

Version 0.2.7

splinekit: Spline Operations

splinekit is a Python-based open-source software library aimed at the manipulation of one-dimensional periodic splines.

Full documentation at https://splinekit.github.io/

Installation

You need at least Python 3.11 to install splinekit.

Creation and activation of your Python virtual environment

(on Unix)

python -m venv splinekit-env
source splinekit-env/bin/activate

(on macOS)

python3 -m venv splinekit-env
source splinekit-env/bin/activate

(on Windows)

python -m venv splinekit-env
.splinekit-env/Scripts/Activate

To deactivate the environment use

deactivate

Minimal requirement

pip install numpy scipy sympy matplotlib

The interactive part of the documentation is deployed on Jupyter Lab

pip install jupyterlab ipywidgets

Install the splinekit library itself

pip install splinekit

Development Environment

Install splinekit development environment in editable mode

pip install -e .[dev]

Release Notes

0.1.0

First stable version. Pure Python.

0.2.1

Same API as 0.1.0. Ansi-C dynamic library.

0.2.2 — 0.2.4

Some demos added.

0.2.5

Minor debug of least-significant-bit edge cases.

0.2.6

Some demos added. Documentation minor updates.

0.2.7

Upgraded to jupyterlite 0.7