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--- index [2022/01/30 18:13]
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+++ index [2024/01/15 21:55] (current)
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+===== License and citation =====
 FitPy is **free and open source** licensed under a [[.:license|BSD 2-clause license]]. However, if you use FitPy for your own research, please cite it appropriately:
-Till Biskup. FitPy (2022). [[https://doi.org/10.5281/zenodo.5920380|doi:10.5281/zenodo.5920380]]
+  * Till Biskup. FitPy (2024). [[https://doi.org/10.5281/zenodo.5920380|doi:10.5281/zenodo.5920380]]
 As FitPy is based on the SciPy and lmfit packages, you are highly encouraged to cite these two packages as well: SciPy: [[https://doi.org/10.1038/s41592-019-0686-2|doi:10.1038/s41592-019-0686-2]], lmfit: [[https://doi.org/10.5281/zenodo.598352|doi:10.5281/zenodo.598352]].
+===== News =====
+Note: The most up-to-date information can be found in the [[https://docs.fitpy.de/changelog.html|changelog]] included in the [[https://docs.fitpy.de/|package documentation]].
+  * 2024-01-15: **FitPy v0.1.1 released**
+    * [[https://github.com/tillbiskup/fitpy/releases/tag/v0.1.1|Changelog (GitHub)]]
+  * 2022-01-30: **FitPy v0.1.0 released**
+    * [[https://github.com/tillbiskup/fitpy/releases/tag/v0.1.0|Changelog (GitHub)]]
+----
+**A note on the logo:** The logo shows a Latin square, usually attributed to Leonhard Euler. In the context of statistical sampling, a Latin square consists of only one sample in each row and each column. Its //n//-dimensional generalisation, the Latin hypercube, is used to generate a near-random sample of parameter values from a multidimensional distribution in statistics, //e.g.//, for obtaining sets of starting parameters for minimisation and fitting tasks. The logo shows a snake (obviously a Python) distributed such over a 4x4 square that it visits each row and each column only once. The copyright of the logo belongs to J. Popp.

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