typo

Author: eeholmes

examples/docs_2_pace_l2.ipynb

@@ -14,7 +14,7 @@
     "* Print the plan to check it `print(plan.summary())`\n",
     "* Do the plan and get matchups `pc.matchup(plan)`\n",
     "\n",
-    "*Note: In a virtual machine in AWS us-west-2, where NASA cloud data is, the point matchups are fast. In Colab, say, your compute is not in the same data region nor provider, the same matchups might take 10x longer.*\n",
+    "*Note: In a virtual machine in AWS us-west-2, where NASA cloud data is, the point matchups are fast. In Colab, say, your compute is not in the same data region nor provider, and the same matchups might take 10x longer.*\n",
     "\n",
     "## Prerequisites\n",
     "\n",

examples/docs_3_many_points.ipynb

@@ -12,7 +12,7 @@
     "\n",
     "Also keeping a very large dataframe in memory will consume RAM. So if RAM is limited, or you are concerned about your machine crashing and losing work, you can save your matchups as you go along.\n",
     "\n",
-    "*Note: In a virtual machine in AWS us-west-2, where NASA cloud data is, the point matchups are fast. In Colab, say, your compute is not in the same data region nor provider, the same matchups might take 10x longer.*\n",
+    "*Note: In a virtual machine in AWS us-west-2, where NASA cloud data is, the point matchups are fast. In Colab, say, your compute is not in the same data region nor provider, and the same matchups might take 10x longer.*\n",
     "\n",
     "## Prerequisites\n",
     "\n",

examples/docs_4_ecco.ipynb

@@ -15,7 +15,7 @@
     "* ECCO_L4_SSH_05DEG_DAILY_V4R4: sea surface height\n",
     "* ECCO_L4_TEMP_SALINITY_05DEG_DAILY_V4R4\n",
     "\n",
-    "*Note: In a virtual machine in AWS us-west-2, where NASA cloud data is, the point matchups are fast. In Colab, say, your compute is not in the same data region nor provider, the same matchups might take 10x longer.*\n",
+    "*Note: In a virtual machine in AWS us-west-2, where NASA cloud data is, the point matchups are fast. In Colab, say, your compute is not in the same data region nor provider, and the same matchups might take 10x longer.*\n",
     "\n",
     "## Prerequisites\n",
     "\n",

examples/docs_4_icesat2.ipynb

@@ -16,7 +16,7 @@
     "\n",
     "The granules are h5 grouped netcdf files. It has monthly, daily, and metadata all in one netcdf.\n",
     "\n",
-    "*Note: In a virtual machine in AWS us-west-2, where NASA cloud data is, the point matchups are fast. In Colab, say, your compute is not in the same data region nor provider, the same matchups might take 10x longer.*\n",
+    "*Note: In a virtual machine in AWS us-west-2, where NASA cloud data is, the point matchups are fast. In Colab, say, your compute is not in the same data region nor provider, and the same matchups might take 10x longer.*\n",
     "\n",
     "## Prerequisites\n",
     "\n",

examples/docs_4_mur.ipynb

@@ -13,7 +13,7 @@
     "* MUR-JPL-L4-GLOB-v4.1\t(~1 km resolution) High-resolution SST\t~2002–present\n",
     "* MUR25-JPL-L4-GLOB-v04.2\t(~25 km resolution)\tCoarse global SST analysis\t~1992–2017 (retrospective)\n",
     "\n",
-    "*Note: In a virtual machine in AWS us-west-2, where NASA cloud data is, the point matchups are fast. In Colab, say, your compute is not in the same data region nor provider, the same matchups might take 10x longer.*\n",
+    "*Note: In a virtual machine in AWS us-west-2, where NASA cloud data is, the point matchups are fast. In Colab, say, your compute is not in the same data region nor provider, and the same matchups might take 10x longer.*\n",
     "\n",
     "## Prerequisites\n",
     "\n",

examples/docs_4_tempo.ipynb

@@ -13,7 +13,7 @@
     "* TEMPO_NO2_L3 this is level 3 on a grid\n",
     "* TEMPO_O3TOT_L2 this is level 2 swath data\n",
     "\n",
-    "*Note: In a virtual machine in AWS us-west-2, where NASA cloud data is, the point matchups are fast. In Colab, say, your compute is not in the same data region nor provider, the same matchups might take 10x longer.*\n",
+    "*Note: In a virtual machine in AWS us-west-2, where NASA cloud data is, the point matchups are fast. In Colab, say, your compute is not in the same data region nor provider, and the same matchups might take 10x longer.*\n",
     "\n",
     "## Prerequisites\n",
     "\n",

examples/docs_quickstart.ipynb

@@ -14,7 +14,7 @@
     "* Print the plan to check it `plan.summary()`\n",
     "* Do the plan and get matchups for variables `pc.matchup(plan, variables=['var'])`\n",
     "\n",
-    "*Note: In a virtual machine in AWS us-west-2, where NASA cloud data is, the point matchups are fast. In Colab, say, your compute is not in the same data region nor provider, the same matchups might take 10x longer.*\n",
+    "*Note: In a virtual machine in AWS us-west-2, where NASA cloud data is, the point matchups are fast. In Colab, say, your compute is not in the same data region nor provider, and the same matchups might take 10x longer.*\n",
     "\n",
     "## Prerequisites\n",
     "\n",