Deploying to main from @ numpy/numpy.org@26a6236 🚀

Author: InessaPawson

case-studies/blackhole-image/index.html

@@ -44,7 +44,7 @@
 NumPy is at the core of array data processing used
 in this package, as illustrated by the partial software
 dependency chart below.</p><figure class=align-default id=id004><img src=/images/content_images/cs/ehtim_numpy.png alt="ehtim dependency map highlighting numpy" class=align-center><figcaption><strong class=caption-title>Software dependency chart of ehtim package highlighting NumPy</strong><a class=headerlink href=#id004 title="Link to this image">#</a><br><p><span class=caption-text></span></figcaption></figure><p>Besides NumPy, many other packages, such as
-<a href=https://www.scipy.org>SciPy</a> and <a href=https://pandas.io>Pandas</a>, are part of the
+<a href=https://scipy.org>SciPy</a> and <a href=https://pandas.pydata.org>Pandas</a>, are part of the
 data processing pipeline for imaging the black hole.
 The standard astronomical file formats and time/coordinate transformations
 were handled by <a href=https://www.astropy.org/>Astropy</a>, while <a href=https://matplotlib.org/>Matplotlib</a> was used