Incremental updates

slides/seg24-webinar-intro.qmd

@@ -11,6 +11,7 @@ format:
     background-image: https://www.pygimli.org/_static/bg_light.png
     menu: false
     highlight-style: solarized
+    code-line-numbers: false
 author:
   - name: Carsten Rücker
     orcid: 0000-0002-8231-9861
@@ -30,7 +31,7 @@ bibliography: refs.bib
 
 ## {{< fa toolbox >}} py**GIMLi** is a versatile open-source toolbox with:
 ::: {.columns}
-::: {.column width="65%"}
+::: {.column width="65%" .incremental}
 - management tools for **structured and unstructured meshes** in 2D & 3D
 - computationally efficient **finite-element and finite-volume solvers**
 - **various geophysical forward operators**: ERT/IP, Traveltime, Gravimetry, Magnetics, SP
@@ -57,7 +58,7 @@ process-based inversions** with **region-specific regularization**
 ## {{< fa backward >}} Previous tutorials
 
 ::: {.columns}
-::: {.column}
+::: {.column .incremental}
 - [Transform 2021](http://transform21.pygimli.org) has discussed creating geometries & meshes, the modeling level and synthetic data creation as well as inversion (with external forward operators).
 - [Transform 2022](http://transform22.pygimli.org) has discussed fundamental `pyGIMLi` objects (`Mesh`, `DataContainer`, matrix types, etc.), geostatistical vs. smoothness-constrained regularization and individual treatment of subsurface regions.
 - **Today** we will show you how to invert a **real-life 3D data** set [@Huebner2017] with many ways to tweak your **inversion beyond the standard practice**.
@@ -67,18 +68,21 @@ process-based inversions** with **region-specific regularization**
 :::
 :::
 
-## {{< fa gift >}} What is new since?
-* All Transform '21 & '22 notebooks available as tutorials or examples on [pygimli.org](https://pygimli.org)
-* **Improved 3D visualization** powered by [pyvista](https://pyvista.org) (including filters, slices and interactive notebook compatibility)
-* **3D gravity and (full-tensor) magnetics** operators and managers
-* **New matrices and matrix generators**, e.g. non-explicit (PDE-based) Jacobian matrix
-* **LSQR-inversion framework** allowing parameter constraints [from @Wagner2019]
-* **Multi-frame modelling framework** for temporally/spectrally/spatially constrained inversion
-* `TimelapseERT` class
-* **Many new examples** on ERT (2D/3D crosshole, 3D surface, timelapse) & IP, 3D magnetics
-* **Improved website**, i.e. fully upgraded to modern (pg>1.2) style and moved to the [*pydata-sphinx-theme*](https://pydata-sphinx-theme.readthedocs.io/en/stable/)
-* Many **more convenience functions**
-* Many **new papers using pyGIMLi** (<https://pygimli.org/publist.html>)
+## {{< fa gift >}} What is new since? 
+
+::: {.incremental}
+- All Transform '21 & '22 notebooks available as tutorials or examples on [pygimli.org](https://pygimli.org)
+- **Improved 3D visualization** powered by [pyvista](https://pyvista.org) (including filters, slices and interactive notebook compatibility)
+- **3D gravity and (full-tensor) magnetics** operators and managers
+- **New matrices and matrix generators**, e.g. non-explicit (PDE-based) Jacobian matrix
+- **LSQR-inversion framework** allowing parameter constraints [from @Wagner2019]
+- **Multi-frame modelling framework** for temporally/spectrally/spatially constrained inversion
+- `TimelapseERT` class
+- **Many new examples** on ERT (2D/3D crosshole, 3D surface, timelapse) & IP, 3D magnetics
+- **Improved website**, i.e. fully upgraded to modern (pg>1.2) style and moved to the [*pydata-sphinx-theme*](https://pydata-sphinx-theme.readthedocs.io/en/stable/)
+- Many **more convenience functions**
+- Many **new papers using pyGIMLi** (<https://pygimli.org/publist.html>)
+:::
 
 
 ## {{< fa people-group >}} Join the pyGIMLi user community!
@@ -92,7 +96,7 @@ process-based inversions** with **region-specific regularization**
 > *– Linus Torvalds*
 :::
 
-::: {.column width="40%"}
+::: {.column width="40%" .incremental}
 1. **Join the `#pyGIMLi` chat** on [Mattermost](https://softwareunderground.org/mattermost)!
 2. **Open a discussion** or an issue [on {{< fa brands github >}} GitHub](https://github.com/gimli-org/gimli).
 3. **Contribute to the website** via the "Improve this page" button in the right sidebar.