fix more links

lwasser · lwasser · commit efcf41b79751 · 2026-03-13T10:59:26.000-06:00
diff --git a/.github/workflows/linkcheck.yml b/.github/workflows/linkcheck.yml
@@ -33,7 +33,6 @@ jobs:
         uses: lycheeverse/lychee-action@8646ba30535128ac92d33dfc9133794bfdd9b411 #v2.8.0
         with:
           args: >
-            --verbose
             --no-progress
             --root-dir ${{ github.workspace }}/_site
             --exclude 'zenodo\.org'
diff --git a/_includes/head.html b/_includes/head.html
@@ -6,7 +6,6 @@
   <link href="{% if site.atom_feed.path %}{{ site.atom_feed.path }}{% else %}{{ '/feed.xml' | relative_url }}{% endif %}" type="application/atom+xml" rel="alternate" title="{{ site.title }} Feed">
 {% endunless %}
 
-<!-- https://t.co/dKP3o1e -->
 <meta name="viewport" content="width=device-width, initial-scale=1.0">
 
 <script>
diff --git a/_posts/2019-11-18-pandera-dataframe-validation.md b/_posts/2019-11-18-pandera-dataframe-validation.md
@@ -3,7 +3,7 @@ layout: single
 title: "Pandera: A Statistical Data Validation Toolkit for Pandas"
 excerpt: "Pandera is a a flexible and expressive toolkit for performing statistical validation checks on pandas data structures that was recently accepted into the pyOpenSci ecosystem. Learn more about Pandera."
 author: "Niels Bantilan"
-permalink: /blog/pandera-python-pandas-dataframe-validation
+permalink: /blog/pandera-python-pandas-dataframe-validation.html
 header:
     overlay_image: images/blog/headers/pandas.png
     caption: "Photo credit: [**Ann Batdorf, Smithsonian's National Zoo**](https://www.flickr.com/photos/nationalzoo/5371290900/in/photostream/)"
diff --git a/_posts/2022-09-27-call-for-python-software-review-editors.md b/_posts/2022-09-27-call-for-python-software-review-editors.md
@@ -3,7 +3,7 @@ layout: single
 title: "pyOpenSci Editorial Process - New Editor in Chief and a Call For Editors"
 excerpt: "pyOpenSci is developing its open peer review process for Python scientific software. Learn about our structure and if you are interested, apply to be on our editorial board."
 author: "Leah Wasser"
-permalink: /blog/python-software-review-process-editor-in-chief
+permalink: /blog/python-software-review-process-editor-in-chief.html
 header:
     overlay_color: "#33205c"
 categories:
diff --git a/_posts/2024-05-30-pyos-pyconus-2024-recap.md b/_posts/2024-05-30-pyos-pyconus-2024-recap.md
@@ -92,7 +92,7 @@ was unforgettable.
 My talk focused on how pyOpenSci helps beginners by breaking down
 complex packaging concepts into simple, digestible pieces. I leaned into decades of
 experience and study of teaching data science to various audiences, from big-ten university students
-to students at under-resourced and under-served <a href="https://www.leahwasser.com/lessons-learned-working-with-tribal-hispanic-serving-schools-earth-data-science-corps" target="_blank">tribal colleges</a>. The essence of my talk was about the importance of
+to students at under-resourced and under-served tribal colleges. The essence of my talk was about the importance of
 community and collaboration in the thorny Python packaging ecosystem, and also why documentation should focus on fundamental concepts that users need to understand, rather than tools.
 
 Our pyOpenSci community has created a comprehensive, [beginner-friendly Python
diff --git a/_posts/2024-06-03-sleplet-slepian-wavelets.md b/_posts/2024-06-03-sleplet-slepian-wavelets.md
@@ -3,7 +3,7 @@ layout: single
 title: "SLEPLET: Slepian Scale-Discretised Wavelets in Python"
 excerpt: SLEPLET is a tool to create Slepian scale-discretised wavelets that has recently passed the PyOpenSci review.
 author: Patrick J. Roddy
-permalink: /blog/sleplet-slepian-wavelets
+permalink: /blog/sleplet-slepian-wavelets.html
 header:
     overlay_image: images/blog/headers/sleptlet-header.png
     caption: "Figure credit: [**The Planck Collaboration 2018**](https://www.aanda.org/articles/aa/full_html/2020/09/aa33881-18/F38.html)"
diff --git a/_posts/2024-07-10-automata.md b/_posts/2024-07-10-automata.md
@@ -3,7 +3,7 @@ layout: single
 title: "automata: Simulation and manipulation"
 excerpt: automata is a package implementing structures and algorithms for manipulating finite automata, pushdown automata, and Turing machines, that was recently accepted into the pyOpenSci ecosystem.
 author: Eliot W. Robson
-permalink: /blog/automata
+permalink: /blog/automata.html
 header:
     overlay_image: /images/blog/headers/automata-header.png
 categories:
diff --git a/_posts/2024-08-30-pyopensci-monumental-growth-2024.md b/_posts/2024-08-30-pyopensci-monumental-growth-2024.md
@@ -198,7 +198,7 @@ Our Python packaging tutorials went through the same community development and r
 
 ### Teaching online lessons is the best way to ensure they stay current
 
-I have created hundreds of [open online lessons](https://www.leahwasser.com/my-path-to-open-education-earth-environmental-data-science) both for ecologists [NEON](https://www.neonscience.org/resources/learning-hub/teaching-modules/quantifying-drivers-and-impacts-natural-disturbance-events) and earth and environmental scientists (formally earthdatascience.org). One of the biggest challenges is that it's easy for data science lessons to [become dated quickly](https://www.leahwasser.com/open-education-data-science-posting-online-is-not-enough)--especially in the rapidly evolving data science space. By teaching the lessons, we can update them regularly as the ecosystem evolves. We also often have users review the lessons at our [annual sprint events](/blog/pyopensci-pyconus-2024-sprints.html) to test them out; more on pyOpenSci beginner-friendly sprints below.
+I have created hundreds of open online lessons both for ecologists [NEON](https://www.neonscience.org/resources/learning-hub/teaching-modules/quantifying-drivers-and-impacts-natural-disturbance-events) and earth and environmental scientists (formally earthdatascience.org). One of the biggest challenges is that it's easy for data science lessons to become dated quickly --especially in the rapidly evolving data science space. By teaching the lessons, we can update them regularly as the ecosystem evolves. We also often have users review the lessons at our [annual sprint events](/blog/pyopensci-pyconus-2024-sprints.html) to test them out; more on pyOpenSci beginner-friendly sprints below.
 
 <i class="fa-solid fa-heart-pulse" style="color: #B197FC;"></i><i class="fa-solid fa-heart-pulse" style="color: #B197FC;"></i><i class="fa-solid fa-heart-pulse" style="color: #B197FC;"></i><i class="fa-solid fa-heart-pulse" style="color: #B197FC;"></i><i class="fa-solid fa-heart-pulse" style="color: #B197FC;"></i><i class="fa-solid fa-heart-pulse" style="color: #B197FC;"></i>
 
diff --git a/_posts/2024-09-17-pyopensci-sustainability-plan-2024.md b/_posts/2024-09-17-pyopensci-sustainability-plan-2024.md
@@ -93,7 +93,7 @@ We offer scholarships to ensure that our events are inclusive. Scholarships work
 
 ### Open education will always be a priority for pyOpenSci
 
-We will also continue to offer free, community-vetted, open education resources. If you know me, you also know that I am deeply committed to creating high-quality open education resources. Open education has been a part of every program that I've built (e.g., [https://www.earthdatascience.org](https://www.earthdatascience.org) and NEON Data Skills.
+We will also continue to offer free, community-vetted, open education resources. If you know me, you also know that I am deeply committed to creating high-quality open education resources. Open education has been a part of every program that I've built (for example, www.earthdatascience.org) and NEON Data Skills.
 
 Our [Python packaging guide](https://www.pyopensci.org/python-package-guide/), which has ~80 contributors as I write this, is one successful example of community-vetted open education resources that the pyOpenSci community has co-created. It now has thousands of users.
 
