Perconet

Pypi classifier for Python 3.13 has been added, as well as some badges in the README.

Perconet also works with Python 3.13 (tested on version 3.13.0rc) and with numpy versions above 2.0 (tested up to version 2.1.2).

This release reflects this in the dependency specifications. Minimum versions have not been changed and are still Python 3.8 and numpy 1.23.

Version 0.2.4 contains a fix for an issue where the default behavior of some versions of numpy would cause an array that should contain integers to become `dtype=float`. The issue would present itself as a fatal error, so analyses done with previous versions that did not crash were not affected by it.

**Full Changelog**: https://github.com/wouterel/perconet/compare/v0.2.1...v0.2.4

This is a beta release in the sense that after several years of using the package in our own research group we are now encouraging others to use it and give us feedback (bug reports and feature requests via GitHub issues, other inquiries via e-mail).