add polls

Author: tomvannuenen

lessons/1_Jupyter_and_Python.ipynb

@@ -21,6 +21,7 @@
     "🥊 **Challenge**: Interactive exercise. We'll work through these in the workshop!<br>\n",
     "💡 **Tip**: How to do something a bit more efficiently or effectively.<br>\n",
     "⚠️ **Warning:** Heads-up about tricky stuff or common mistakes.<br>\n",
+    "📝 **Poll:** A Zoom poll to help you learn!<br>\n",
     "🎬 **Demo**: Showing off something more advanced – so you know what Python can be used for!<br>\n",
     "\n",
     "### Sections\n",
@@ -40,8 +41,7 @@
     "\n",
     "Python is a general-purpose programming language. It can be used for many tasks, including building websites and software, automating tasks, data analysis, and more.\n",
     "\n",
-    "<span style=\"color:purple\">🔔 **Question**: Why are you learning Python? What would you like to use it for? </span>\n",
-    "\n",
+    "📝 **Poll PyFun 1-1:** Why are you learning Python? What would you like to use it for? </span>\n",
     "\n",
     "This introduction to Python is built around **data analysis**, although many of these skills will be useful for other applications of Python.\n",
     "\n",
@@ -189,7 +189,7 @@
     "\n",
     "For example, we can assign the result of the above calculation to a variable called `a`.\n",
     "\n",
-    "<span style=\"color:purple\">🔔 **Question:** What do you think the output of the following code cell will be? </span>"
+    "📝 **Poll PyFun 1-2:** What do you think the output of the following code cell will be?"
    ]
   },
   {

lessons/2_Data_Types_and_Structures.ipynb

@@ -24,6 +24,7 @@
     "🥊 **Challenge**: Interactive exercise. We'll work through these in the workshop!<br>\n",
     "💡 **Tip**: How to do something a bit more efficiently or effectively.<br>\n",
     "⚠️ **Warning:** Heads-up about tricky stuff or common mistakes.<br>\n",
+    "📝 **Poll:** A Zoom poll to help you learn!<br>\n",
     "🎬 **Demo**: Showing off something more advanced – so you know what Python can be used for!<br>\n",
     "\n",
     "\n",
@@ -248,7 +249,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "## <span style=\"color:purple\"> 🥊 Challenge 1: What's Your Type?</span>\n",
+    "## 🥊 Challenge 1: What's Your Type?</span>\n",
     "\n",
     "What is the type of the following expressions? Run these cells and wrap them in a `type()` function to see!\n",
     "\n",
@@ -287,6 +288,13 @@
     "['Afghanistan','Canada','Zimbabwe']"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "📝 **Poll PyFun 2-1:** What is the type of the expressions?"
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {
@@ -604,9 +612,9 @@
     "tags": []
    },
    "source": [
-    "## 🥊 <span style=\"color:purple\"> Challenge 4: Indexing </span>\n",
+    "## 🥊 Challenge 4: Indexing\n",
     "\n",
-    "Index the following list to get rid of the values `1`, `3`, and `5`. Just try different ways out! For instance, what does `numbers[3:]` do? Or `numbers[-3]`?"
+    "Index the following list to get rid of the values `1`, `3`, and `5`. There are different ways to do this!"
    ]
   },
   {
@@ -620,6 +628,13 @@
     "# YOUR CODE HERE\n"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "📝 **Poll PyFun 2-2:** How can we index the list to get rid of the values 1, 3, and 5?"
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {},

lessons/3_Pandas.ipynb

@@ -25,6 +25,7 @@
     "🥊 **Challenge**: Interactive exercise. We'll work through these in the workshop!<br>\n",
     "💡 **Tip**: How to do something a bit more efficiently or effectively.<br>\n",
     "⚠️ **Warning:** Heads-up about tricky stuff or common mistakes.<br>\n",
+    "📝 **Poll:** A Zoom poll to help you learn!<br>\n",
     "🎬 **Demo**: Showing off something more advanced – so you know what Python can be used for!<br>\n",
     "\n",
     "### Sections\n",
@@ -263,7 +264,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "## 🥊  <span style=\"color:purple\"> Challenge 2: Putting Methods in Order</span>\n",
+    "## 🥊 Challenge 2: Putting Methods in Order\n",
     "\n",
     "In the following code we want to to find the top-3 most frequently occurring continents in our data. Put the following code fragments in the right order to get this information!"
    ]
@@ -279,6 +280,13 @@
     "df['continent']"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "📝 **Poll PyFun 3-1:** What is the correct order of the methods?"
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {},
@@ -409,7 +417,7 @@
     "tags": []
    },
    "source": [
-    "## 🥊  <span style=\"color:purple\">Challenge 3: Subsetting Data Frames</span>\n",
+    "## 🥊 Challenge 3: Subsetting Data Frames\n",
     "\n",
     "Besides `==` we can use [other operators](https://www.w3schools.com/python/gloss_python_comparison_operators.asp) to compare values. For instance:\n",
     "- `<` less than\n",
@@ -437,6 +445,13 @@
     "df[df[...] < ...]"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "📝 **Poll PyFun 3-2:** What is the shape of the resulting data frame?"
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {},
@@ -467,6 +482,13 @@
     "\n"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "📝 **Poll PyFun 3-3:** After these 3 workshops, how comfortable do you feel advancing to a workshop about Pandas DataFrames?"
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {