Updated PyMC to 2025 (#481)

---------

Co-authored-by: Matthew Middlehurst <pfm15hbu@gmail.com>
Co-authored-by: aloctavodia <aloctavodia@gmail.com>
Co-authored-by: Kevin Anderson <kevin.anderso@gmail.com>
Co-authored-by: henry senyondo <henrykironde@gmail.com>

2025/ideas-list.md

@@ -8,6 +8,7 @@ page of each organization under the NumFOCUS umbrella at this page.
 - [ArviZ](https://github.com/arviz-devs/arviz/wiki/GsoC-2025-projects)
 - [Data Retriever](https://github.com/weecology/retriever/wiki/GSoC-2025-Project-Ideas)
 - [pvlib](https://github.com/pvlib/pvlib-python/wiki/GSoC-2025-Projects)
+- [PyMC](https://github.com/pymc-devs/pymc/wiki/GSoC-2025-projects)
 - [Zarr](https://github.com/zarr-developers/gsoc/blob/main/2025/ideas-list.md)
 
 

README.md

@@ -446,7 +446,7 @@ In alphabetic order.
        <h1>PyMC</h1>
        <p>PyMC is a python module for Bayesian statistical modeling and model fitting which focuses on advanced Markov chain Monte Carlo and variational fitting algorithms. Its flexibility and extensibility make it applicable to a large suite of problems.</p>
        <p>
-         <a href="https://www.pymc.io/welcome.html">Website</a> | <a href="https://discourse.pymc.io/">discourse</a> | <a href="https://github.com/pymc-devs/pymc/wiki/GSoC-2024-projects">Ideas Page</a> | <a href="https://github.com/pymc-devs/pymc"> Source Code</a>
+         <a href="https://www.pymc.io/welcome.html">Website</a> | <a href="https://discourse.pymc.io/">discourse</a> | <a href="https://github.com/pymc-devs/pymc/wiki/GSoC-2025-projects">Ideas Page</a> | <a href="https://github.com/pymc-devs/pymc"> Source Code</a>
        </p>
     </td>
 </tr>