This repository has slides for my presentation at Northeast Bioimaging Analysis Meeting, Oct 20 2023, hosted by JAX in Farmington, CT.
Peter Sobolewski & napari project contributors
napari is a Python library for multi-dimensional image visualisation, annotation, and analysis. napari leverages the scientific Python stack and supports bidirectional communication between the viewer and the Python kernel. Importantly, it’s an open, community developed project, which means that anyone can contribute. There are number of options for contributing to the napari community depending on your bandwidth and desired level of engagement—all are very welcome! You can join the image.sc forums, our Zulip chat (napari.zulipchat.com), or one of the community meetings to engage with the community. You can share Python scripts that use the napari API along with other Python modules—these can even add on to the napari GUI thanks to the use of widgets. Going beyond that, you can develop a napari plugin, which is Python package published on PyPI, that extends napari functionality in a publicly discoverable fashion. Alternately, you can contribute to the napari project itself, by tackling open issues to fix bugs or by implementing a new feature. Importantly, you can make non-code contributions to the documentation—which are extremely valuable—by reviewing, editing, updating, or writing new guides or tutorials. All of these contributions combine to make for a supportive, dynamic, and sustainable napari community.
The slide content is provided under a CC-BY license. You may reuse and share the contents for any purpose, in any way, just please make sure to provide attribution to this source material.
Slides were generated using quarto and VS Code extension.