DOI-USGS · mnfienen · Aug 9, 2026 · Aug 8, 2026 · Aug 9, 2026 · Aug 8, 2026
diff --git a/AGENDA.md b/AGENDA.md
@@ -42,7 +42,7 @@ Monday
 - 900-1000: 01 Introductions and IT sorting (Mike)
 - 1000-1100: 02 Build your first model with FloPy (Kalle)
 - 1100-1115: break
-- 1115-1245: 03 Loading and visualizing models with FloPy (Andy) 
+- 1115-1245: 03 Loading and visualizing models with FloPy (Josh) 
 - 1245-1345: lunch
 - 1345-1615: 04 Intersection Capabilities, modelgrid, time wrangling (Josh) 
 - 1615-1630: break
@@ -55,8 +55,8 @@ Monday
 - 1230-1330: lunch
 - 1330-1500: 07 Streamflow Capture Analysis with FloPy – using Voronoi (Mike) 
 - 1500-1515: break
-- 1515-1545: 08 Modflow-setup demo (Andy) 
+- 1515-1545: 08 Modflow-setup demo (Mike) 
 - 1545-1600: break
 - 1600-1630: 09 Run and process MF6 GWT (Kalle) 
-- 1630-1700: 10 Run and process MODPATH/MF6-PRT models (Andy) 
+- 1630-1700: 10 Run and process MODPATH/MF6-PRT models (Josh) 
 - 1700: Wrap up
diff --git a/installation/environment.yml b/installation/environment.yml
@@ -4,7 +4,7 @@ channels:
   - nodefaults
 dependencies:
   # required
-  - python=3.14
+  - python
   - pip
 
   - numpy

diff --git a/notebooks/part0_python_intro/02_Namespace_objects_modules_packages.ipynb b/notebooks/part0_python_intro/02_Namespace_objects_modules_packages.ipynb
@@ -469,12 +469,7 @@
    "cell_type": "code",
    "execution_count": null,
    "id": "cfc5092f",
-   "metadata": {
-    "ExecuteTime": {
-     "end_time": "2026-07-13T20:33:01.937415100Z",
-     "start_time": "2026-07-13T20:33:01.902023300Z"
-    }
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "class Rectangle(object):\n",
@@ -492,12 +487,7 @@
    "cell_type": "code",
    "execution_count": null,
    "id": "a9e31831",
-   "metadata": {
-    "ExecuteTime": {
-     "end_time": "2026-07-13T20:33:01.993260200Z",
-     "start_time": "2026-07-13T20:33:01.940307700Z"
-    }
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "print(Rectangle)"
@@ -507,12 +497,7 @@
    "cell_type": "code",
    "execution_count": null,
    "id": "99393550",
-   "metadata": {
-    "ExecuteTime": {
-     "end_time": "2026-07-13T20:33:02.047728Z",
-     "start_time": "2026-07-13T20:33:02.008492Z"
-    }
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "r1 = Rectangle(2, 3, 'f')\n",
@@ -525,12 +510,7 @@
    "cell_type": "code",
    "execution_count": null,
    "id": "a0ba121a",
-   "metadata": {
-    "ExecuteTime": {
-     "end_time": "2026-07-13T20:34:14.783207400Z",
-     "start_time": "2026-07-13T20:34:14.763440600Z"
-    }
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "# attrs"
@@ -679,12 +659,7 @@
    "cell_type": "code",
    "execution_count": null,
    "id": "f17dae1f-8061-4e03-a90f-6e8e967419fe",
-   "metadata": {
-    "ExecuteTime": {
-     "end_time": "2026-07-13T20:33:01.937415100Z",
-     "start_time": "2026-07-13T20:33:01.902023300Z"
-    }
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "class Rectangle(object):\n",
@@ -1151,18 +1126,6 @@
    "display_name": "Python 3 (ipykernel)",
    "language": "python",
    "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.14.6"
   }
  },
  "nbformat": 4,

diff --git a/notebooks/part0_python_intro/04_files_and_strings.ipynb b/notebooks/part0_python_intro/04_files_and_strings.ipynb
@@ -915,10 +915,6 @@
    "display_name": "base",
    "language": "python",
    "name": "python3"
-  },
-  "language_info": {
-   "name": "python",
-   "version": "3.12.8"
   }
  },
  "nbformat": 4,

diff --git a/notebooks/part0_python_intro/05_numpy.ipynb b/notebooks/part0_python_intro/05_numpy.ipynb
@@ -157,7 +157,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "print('The type of a: ', a.dtype)"
+    "print('The type of data in a: ', a.dtype)"
    ]
   },
   {
@@ -323,7 +323,7 @@
    "source": [
     "## TEST YOUR SKILLS #0\n",
     "\n",
-    "1. Write the Mt. St. Helens array (before) to a new file called `mynewarray.dat` in the same folder as `mt_st_helens_before.dat`. Explore different formats (see the note under [documentation](https://numpy.org/doc/stable/reference/generated/numpy.savetxt.html) for more) and see if you can read it back in again. What are the file size ramifications of format choices?\n",
+    "1. Write the Mt. St. Helens array (before) to a new file called `mynewarray.dat` in the same folder (the variable `datapath` we defined already) as `mt_st_helens_before.dat`. Explore different formats (see the note under [documentation](https://numpy.org/doc/stable/reference/generated/numpy.savetxt.html) for more) and see if you can read it back in again. What are the file size ramifications of format choices?\n",
     "2. Take a look at `bottom_commented.dat` in a text editor.  What about this file?  Can you read this file using `loadtxt` without having to manually change the file?  Hint: look at the `loadtxt` arguments."
    ]
   },
@@ -450,7 +450,7 @@
     "\n",
     "Okay, now for the good stuff...\n",
     "\n",
-    "Numpy arrays are zero based, which means the first position is referenced as 0.  If you are a FORTRAN person or a MATLAB person, THIS WILL CAUSE YOU GREAT GRIEF!  You will be burned by the fact that the first element in an array is not `a[1]`.  It is `a[0]`.  You will accept it, eventually, and then you will find zero-based arrays to be more intuitive, maybe.\n",
+    "Numpy arrays are zero based, which means the first position is referenced as 0.  If you are a FORTRAN person or a MATLAB person or an R person, THIS WILL CAUSE YOU GREAT GRIEF!  You will be burned by the fact that the first element in an array is not `a[1]`.  It is `a[0]`.  You will accept it, eventually, and then you will find zero-based arrays to be more intuitive, maybe.\n",
     "\n",
     "Let's do some array slicing to see how all of this works."
    ]
@@ -1718,17 +1718,17 @@
     "\n",
     "The radial and tangential components of the velocity vector $\\vec{v}=(v_r,v_\\theta)$ for inviscid fluid flow around a cylinder are given by\n",
     "\n",
-    "$\\begin{split}\n",
+    "$$\\begin{split}\n",
     "v_r&=U(1-R^2/r^2)\\cos(\\theta) \\qquad r\\ge R \\\\\n",
     "v_\\theta&=-U(1+R^2/r^2)\\sin(\\theta) \\qquad r\\ge R\n",
-    "\\end{split}$\n",
+    "\\end{split}$$\n",
     "\n",
     "and is zero otherwise. The $x$ and $y$ components of the velocity vector may be obtained from the radial and tangential components as\n",
     "\n",
-    "$\\begin{split}\n",
+    "$$\\begin{split}\n",
     "v_x&=v_r\\cos(\\theta) - v_\\theta\\sin(\\theta) \\\\\n",
     "v_y &= v_r\\sin(\\theta) + v_\\theta\\cos(\\theta) \n",
-    "\\end{split}$\n",
+    "\\end{split}$$\n",
     "\n",
     "1. Write a function that returns the $x$ and $y$ components of the velocity vector for fluid flow around a cylinder with $R=1.5$ and $U=2$.\n",
     "\n",
@@ -1757,7 +1757,7 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
+   "display_name": "pyclass",
    "language": "python",
    "name": "python3"
   }

diff --git a/notebooks/part0_python_intro/06_matplotlib.ipynb b/notebooks/part0_python_intro/06_matplotlib.ipynb
@@ -1307,18 +1307,6 @@
    "display_name": "pyclass",
    "language": "python",
    "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.14.6"
   }
  },
  "nbformat": 4,

diff --git a/notebooks/part0_python_intro/06b_matplotlib_animation.ipynb b/notebooks/part0_python_intro/06b_matplotlib_animation.ipynb
@@ -243,18 +243,6 @@
    "display_name": "pyclass",
    "language": "python",
    "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.14.6"
   }
  },
  "nbformat": 4,

diff --git a/notebooks/part0_python_intro/08_pandas.ipynb b/notebooks/part0_python_intro/08_pandas.ipynb
@@ -1676,18 +1676,6 @@
    "display_name": "Python 3 (ipykernel)",
    "language": "python",
    "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.14.6"
   }
  },
  "nbformat": 4,

diff --git a/notebooks/part0_python_intro/09_a_Geopandas.ipynb b/notebooks/part0_python_intro/09_a_Geopandas.ipynb
@@ -1125,7 +1125,7 @@
     "***\n",
     "We have an Excel file that contains a crosswalk between SPECIES number as provided and species name. Can we bring that into our dataset and evaluate some conclusions about tree species by neighborhood?\n",
     "- start with the `trees_with_hoods` GeoDataFrame\n",
-    "- load up and join the data from datapath / 'Madison_Tree_Species_Lookup.xlsx'\n",
+    "- load up and join the data from `datapath / 'Madison_Tree_Species_Lookup.xlsx'`\n",
     "- hint: check the dtypes before merging - if you are going to join on a column, the column must be the same dtype in both dataframes\n",
     "- Make a multipage PDF with a page for each neighborhood showing a bar chart of the top ten tree species (by name) in each neighborhood\n",
     "- Make a map (use explore, or save to SHP or geojson) showing the neighborhoods with a color-coded field showing the most common tree species for each neighborhood\n",
@@ -1146,7 +1146,7 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
+   "display_name": "pyclass",
    "language": "python",
    "name": "python3"
   }

diff --git a/notebooks/part0_python_intro/bonus_examples/Geopandas_ABQ.ipynb b/notebooks/part0_python_intro/bonus_examples/Geopandas_ABQ.ipynb
diff --git a/notebooks/part0_python_intro/solutions/09_Geopandas__solutions.ipynb b/notebooks/part0_python_intro/solutions/09_Geopandas__solutions.ipynb
@@ -236,7 +236,7 @@
    "outputs": [],
    "source": [
     "# read back in the trees and hoods data\n",
-    "trees = gp.read_file(datapath / 'Street_Trees.geojson', index_col=0)\n",
+    "trees = gp.read_file(datapath / 'Street_Trees.geojson')\n",
     "trees.to_crs(hoods.crs, inplace=True)\n",
     "trees_with_hoods = trees[['SPECIES','DIAMETER','geometry']].sjoin(hoods[['NEIGHB_NAME','geometry']])\n",
     "trees_with_hoods.head()"
@@ -413,7 +413,7 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
+   "display_name": "pyclass",
    "language": "python",
    "name": "python3"
   },
@@ -427,7 +427,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.12.11"
+   "version": "3.14.6"
   }
  },
  "nbformat": 4,

diff --git a/notebooks/part1_flopy/03_Loading_and_visualizing_models.ipynb b/notebooks/part1_flopy/03_Loading_and_visualizing_models.ipynb
@@ -1098,18 +1098,6 @@
    "display_name": "pyclass",
    "language": "python",
    "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.14.3"
   }
  },
  "nbformat": 4,

diff --git a/notebooks/part1_flopy/04_Modelgrid_and_intersection.ipynb b/notebooks/part1_flopy/04_Modelgrid_and_intersection.ipynb
@@ -1469,18 +1469,6 @@
    "display_name": "Python 3 (ipykernel)",
    "language": "python",
    "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.14.6"
   }
  },
  "nbformat": 4,

diff --git a/notebooks/part1_flopy/05_Unstructured_Grid_generation.ipynb b/notebooks/part1_flopy/05_Unstructured_Grid_generation.ipynb
@@ -1799,18 +1799,6 @@
    "display_name": "Python 3 (ipykernel)",
    "language": "python",
    "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.14.6"
   }
  },
  "nbformat": 4,

diff --git a/notebooks/part1_flopy/07-stream_capture_voronoi.ipynb b/notebooks/part1_flopy/07-stream_capture_voronoi.ipynb
@@ -699,18 +699,6 @@
    "display_name": "pyclass",
    "language": "python",
    "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.14.3"
   }
  },
  "nbformat": 4,

diff --git a/notebooks/part1_flopy/08_Modflow-setup-demo.ipynb b/notebooks/part1_flopy/08_Modflow-setup-demo.ipynb
@@ -793,18 +793,6 @@
    "display_name": "pyclass",
    "language": "python",
    "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.12.11"
   }
  },
  "nbformat": 4,