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ncsu-geoforall-lab · Nov 18, 2024 · da0001c · da0001c
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diff --git a/lectures/python-in-binder.html b/lectures/python-in-binder.html
@@ -62,7 +62,8 @@ <h3>Interaction: Jupyter</h3>
         <li>alternatives:
             <ul>
                 <li>RStudio, R Markdown
-                <li>other <em>notebooks</em> and <em>literate programing</em> tools
+                <li>Quarto</li>
+                <li>other <em>notebooks</em> and <em>literate programming</em> tools
             </ul>
     </ul>
     <div class="right">
@@ -125,6 +126,7 @@ <h3>Binder Alternatives</h3>
                 <li>Requires sign in, notebook can access your Google Drive and credentials.
                 <li>Setup of the environment is part of the notebook.
             </ul>
+        <li>The Whole Tale (funded by NSF)</li>
         <li>HydroShare <small>(by CUAHSI, funded by NSF)</small></li>
         <li>Pangeo <small>(funded by NSF, NASA, ...)</small></li>
         <li>...
@@ -135,7 +137,7 @@ <h3>Binder Alternatives</h3>
 <section>
     <h3>Why Binder?</h3>
     <ul>
-        <li>Community and long term project
+        <li>Community and long term project (Project Jupyter at NumFOCUS and cloud providers)
         <li>Python, R, ...
         <li>Similar concepts to RStudio Cloud, Code Ocean, ...
         <li>Open source <small>(building blocks of Binder: JupyterHub, BinderHub, repo2docker)</small>
@@ -157,7 +159,7 @@ <h3>Why Binder?</h3>
 <section>
     <h3>Computational Environment: Docker</h3>
     <ul>
-        <li>virtualization tool to wrap software with all its dependencies into one package
+        <li>“virtualization” tool to wrap software with all its dependencies into one package
         <li>image is the software or binary, container is what is running
         <li>enables to run many isolated computational environments
         <li>open source software and related freemium platform

diff --git a/topics/open-science-for-grand-challenges.rst b/topics/open-science-for-grand-challenges.rst
@@ -140,7 +140,7 @@ Examples using Binder (25 min):
 
 1. Hydrology and zonal statistics in GRASS GIS in JupyterLab
 
-   * https://mybinder.org/v2/gh/OSGeo/grass/8.2.0?urlpath=lab%2Ftree%2Fdoc%2Fnotebooks%2Fhydrology.ipynb
+   * https://mybinder.org/v2/gh/OSGeo/grass/8.4.0?urlpath=lab%2Ftree%2Fdoc%2Fnotebooks%2Fhydrology.ipynb
    * Highlights: Included dataset, two different types of plotting (GRASS-specific and general Matplotlib)
 
 1. Sudden Oak Death example for PoPS model in JupyterLab