primer and intro

yy · Jan 8, 2024 · 096b5a2 · 096b5a2
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diff --git a/docs/m00-primer/lab00-python_review.ipynb b/docs/m00-primer/lab00-python_review.ipynb
@@ -7,7 +7,14 @@
     "id": "85aa8cf4-9e06-41af-8748-19fc1bac30af"
    },
    "source": [
-    "# Python review"
+    "# Python review\n",
+    "\n",
+    "<div style=\"display: flex; align-items: center;\">\n",
+    "    <a target=\"_blank\" href=\"https://colab.research.google.com/github/yy/netsci-course/blob/master/docs/m00-primer/lab00-python_review.ipynb\">\n",
+    "        <img src=\"https://www.tensorflow.org/images/colab_logo_32px.png\" style=\"vertical-align: -8px; margin-right: 10px;\" />\n",
+    "        Open this notebook in Google Colab\n",
+    "    </a>\n",
+    "</div>"
    ]
   },
   {

diff --git a/docs/m00-primer/lab00-self_assessment.ipynb b/docs/m00-primer/lab00-self_assessment.ipynb
@@ -8,7 +8,7 @@
     "\n",
     "Network science uses a wide array of mathematical and computational tools, includign calculus, linear algebra, probability, statistics, algorithms, data structure, and so on. You can use this (ungraded) quiz to identify your strengths and weaknesses in these areas. This will help you identify the areas you need to work on to succeed in this course. \n",
     "\n",
-    "**Ch. 4 \"Primer\"** from _Working with Network Data_ (see Canvas) will be a useful reference to review and catch up on these topics but we will be happy to assist more. Please contact the instructor if you need help with any of these topics!\n"
+    "**Ch. 4 \"Primer\"** from _Working with Network Data_ (see Canvas) will be a useful reference to review and catch up on these topics but we will be happy to assist more. Please contact the instructor if you need help with any of these topics!"
    ]
   },
   {

diff --git a/docs/m01-intro/lab01-env.ipynb b/docs/m01-intro/lab01-env.ipynb
@@ -4,21 +4,20 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "<table class=\"m01-notebook-buttons\" align=\"left\">\n",
-    "  <td>\n",
-    "    <a target=\"_blank\" href=\"https://colab.research.google.com/github/yy/netsci-course/blob/master/m01-getready/Python%20Introduction%20Assignment.ipynb\"><img src=\"https://www.tensorflow.org/images/colab_logo_32px.png\" />Run in Google Colab</a>\n",
-    "  </td>\n",
-    "  <td>\n",
-    "    <a href=\"https://github.com/yy/netsci-course/blob/master/m01-getready/Python%20Introduction%20Assignment.ipynb\"><img src=\"https://www.tensorflow.org/images/GitHub-Mark-32px.png\" />View on Github</a>\n",
-    "  </td>\n",
-    "</table>"
+    "# Setting up Python environments\n",
+    "\n",
+    "<div style=\"display: flex; align-items: center;\">\n",
+    "    <a target=\"_blank\" href=\"https://colab.research.google.com/github/yy/netsci-course/blob/master/docs/m01-intro/lab01-env.ipynb\">\n",
+    "        <img src=\"https://www.tensorflow.org/images/colab_logo_32px.png\" style=\"vertical-align: -8px; margin-right: 10px;\" />\n",
+    "        Open this notebook in Google Colab\n",
+    "    </a>\n",
+    "</div>"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "# Setting up Python environments\n",
     "\n",
     "## Why?\n",
     "\n",