Create an example driven NumPy lesson

.github/workflows/sphinx.yml

@@ -15,7 +15,7 @@ env:
   # If these SPHINXOPTS are enabled, then be strict about the
   # builds and fail on any warnings.
   #SPHINXOPTS: "-W --keep-going -T"
-  GENERATE_PDF: true          # to enable, must be 'true' lowercase
+  GENERATE_PDF: false          # to enable, must be 'true' lowercase
   GENERATE_SINGLEHTML: true   # to enable, must be 'true' lowercase
   PDF_FILENAME: lesson.pdf
   MULTIBRANCH: true    # to enable, must be 'true' lowercase
@@ -96,6 +96,12 @@ jobs:
           make singlehtml
           mv _build/singlehtml/ _build/dirhtml/singlehtml/
 
+      - name: Save HTML as artifact
+        uses: actions/upload-artifact@v4
+        with:
+          name: html-dev
+          path: _build
+
       # PDF if requested
       - name: Generate PDF
         if: ${{ env.GENERATE_PDF == 'true' }}

content/index.rst

@@ -71,7 +71,7 @@ to learn yourself as you need to.
 
    (prereq) ; :doc:`python`
    30 min   ; :doc:`jupyter`
-   60 min   ; :doc:`numpy` or :doc:`numpy-advanced`
+   60 min   ; :doc:`numpy-stars` or :doc:`numpy-advanced`
    60 min   ; :doc:`pandas`
    30 min   ; :doc:`xarray`
    60 min   ; :doc:`plotting-matplotlib`
@@ -98,6 +98,7 @@ to learn yourself as you need to.
    python
    jupyter
    numpy
+   numpy-stars
    numpy-advanced
    pandas
    xarray

content/installation.rst

@@ -413,6 +413,10 @@ Any recent version of Python 3 should work for the course (for example
 3.8 or higher).
 
 
+Data package
+------------
+For the NumPy lesson, you will need to download and extract a data package, which you can find here:
+https://drive.google.com/file/d/1ZbZIpf-tL60S18k9f8LI_YdTe9o8jy-I/view?usp=sharing
 
 Zoom
 ----