diff --git a/notebooks/visualization_with_Matplotlib_L1.ipynb b/notebooks/visualization_with_Matplotlib_L1.ipynb
index dfc3881460b19eeaf1d296fea0c55e99d1d5f69d..c203092b1081de5e670a8ed3eabe930286a5ecfd 100644
--- a/notebooks/visualization_with_Matplotlib_L1.ipynb
+++ b/notebooks/visualization_with_Matplotlib_L1.ipynb
@@ -184,7 +184,7 @@
     "\n",
     "    [<matplotlib.lines.Line2D at 0x10f402500>]\n",
     "    \n",
-    "from above you can write it to a variable:"
+    "from above you can add a semicolon to the line or write the expression to a variable."
    ]
   },
   {
@@ -193,7 +193,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "yplot = plt.plot(y)"
+    "plt.plot(y);"
    ]
   },
   {
@@ -444,7 +444,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Sometimes you want to overlay different components of your plots using transparency. In matplotlib this is achieved by setting the transparency parameter `alpha`. Here, `alpha=1.` corresponds to full **opacity**, and `alpha=0.` to **full transparency**. In the following plot, we draw a transparent line on top of a solid line:"
+    "Sometimes you want to overlay different components of your plots using transparency. In matplotlib this is achieved by setting the transparency parameter `alpha`. Here, `alpha=1.` corresponds to full **opacity**, and `alpha=0.` to **full transparency**. In the following plot, we draw a black transparent line on top of a solid red line:"
    ]
   },
   {
@@ -454,8 +454,8 @@
    "outputs": [],
    "source": [
     "plt.grid()\n",
-    "plt.plot(x, y, 'ko-', linewidth=2, alpha=0.2)\n",
-    "plt.plot(x, [v**2/2 for v in y], 'rs:', linewidth=2)"
+    "plt.plot(x, [v**2/2 for v in y], 'rs:', linewidth=2)\n",
+    "plt.plot(x, y, 'ko-', linewidth=2, alpha=0.2)"
    ]
   },
   {
@@ -611,7 +611,9 @@
     "In the next section we demonstrate how to use `pyplot.subplots` functionality to create two plots in one workspace.\n",
     "\n",
     "1. two plots in one row\n",
-    "1. common title on top of the figure\n"
+    "1. common title on top of the figure\n",
+    "\n",
+    "Note that `axs` is now an array, and we access the individual axes by indexing it."
    ]
   },
   {
@@ -1183,9 +1185,9 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "cartopy",
+   "display_name": "CyGNSS Deployment",
    "language": "python",
-   "name": "cartopy"
+   "name": "cygnss-d"
   },
   "language_info": {
    "codemirror_mode": {
@@ -1197,7 +1199,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.4"
+   "version": "3.9.13"
   }
  },
  "nbformat": 4,
diff --git a/notebooks/visualization_with_Matplotlib_L2.ipynb b/notebooks/visualization_with_Matplotlib_L2.ipynb
index ec9eac901fd0336afd71f59cba7d52edc3d04f17..cfb4099e460d1a57c87e8f0a290f6c582c715624 100644
--- a/notebooks/visualization_with_Matplotlib_L2.ipynb
+++ b/notebooks/visualization_with_Matplotlib_L2.ipynb
@@ -128,7 +128,7 @@
     "\n",
     "## Add a legend <a class=\"anchor\" id=\"add-legend\"></a>\n",
     "\n",
-    "This looks quite nice, but a legend is still missing. Therefore, a **label** has to be added to each plot call and the `legend` fuction from pyplot is used to generate a legend box at the upper left part of the plot (default).\n",
+    "This looks quite nice, but a legend is still missing. Therefore, a **label** has to be added to each plot call and the `legend` fuction from pyplot is used to generate a legend box. By default, the legend is placed in a location where it does not overlap the plot, that can be changed by specifying the `loc` parameter.\n",
     "\n",
     "<br>"
    ]
@@ -151,7 +151,6 @@
     "ax.plot(data.Jahr, data['Bayern'], color='darkorange', label='Bayern')\n",
     "\n",
     "legend = ax.legend()\n",
-    "#legend = ax.legend(facecolor='lightgray')\n",
     "#legend = ax.legend(loc='lower right', shadow=True, fontsize='small', \n",
     "#                   facecolor='lightgray', edgecolor='black')\n",
     "\n",
@@ -320,7 +319,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Another way to create the plot:"
+    "Another way to create the axis in one line of code:"
    ]
   },
   {
@@ -577,7 +576,7 @@
     "                     levels=15, transform=ccrs.PlateCarree())\n",
     "\n",
     "cbar = plt.colorbar(plt_cn, pad=0.08, shrink=0.55)\n",
-    "cbar.set_label('$^o$ C', labelpad=15, y=.5, rotation=270)"
+    "cbar.set_label('Surface temperature $(^\\circ\\mathrm{C})$', labelpad=15, y=.5, rotation=90)"
    ]
   },
   {
@@ -699,7 +698,7 @@
     "                transform=ccrs.PlateCarree())\n",
     "\n",
     "cbar = plt.colorbar(vec, pad=0.07, shrink=0.55)\n",
-    "cbar.set_label('Wind magnitude (m/s)', labelpad=15, y=.5, rotation=270)"
+    "cbar.set_label('Wind magnitude (m/s)', labelpad=15, y=.5, rotation=90)"
    ]
   },
   {
@@ -933,9 +932,9 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "cartopy",
+   "display_name": "ML (based on the latest module pytorch)",
    "language": "python",
-   "name": "cartopy"
+   "name": "ml-aim"
   },
   "language_info": {
    "codemirror_mode": {
@@ -947,7 +946,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.4"
+   "version": "3.10.8"
   }
  },
  "nbformat": 4,