enh: add session 3 and 4 tutorials

Author: jonas-eschle

session3/exercises_pandas.ipynb session3/exercises_data.ipynbsession3/exercises_pandas.ipynb renamed to session3/exercises_data.ipynb

@@ -5,7 +5,8 @@
    "id": "0",
    "metadata": {},
    "source": [
-    "# Exercises Pandas\n",
+    "# Exercises Data\n",
+    "\n",
     "\n"
    ]
   },
@@ -41,6 +42,21 @@
    "cell_type": "markdown",
    "id": "3",
    "metadata": {},
+   "source": [
+    "Exercise 0\n",
+    "\n",
+    "Refresher on numpy.\n",
+    "\n",
+    "1. Create a random number generator with a seed.\n",
+    "2. Create two numpy array with random normal distribution with mean 0 and standard deviation 1 and shape 10'000'000.\n",
+    "3. Add them using the %timeit magic in the cell\n",
+    "4. Create two lists with the same numbers and add them using the %timeit magic in the cell. You will need a for loop for it."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "4",
+   "metadata": {},
    "source": [
     "## Exercise 1:\n",
     "\n",
@@ -53,14 +69,14 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "4",
+   "id": "5",
    "metadata": {},
    "outputs": [],
    "source": []
   },
   {
    "cell_type": "markdown",
-   "id": "5",
+   "id": "6",
    "metadata": {},
    "source": [
     "## Exercise 2\n",
@@ -72,7 +88,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "6",
+   "id": "7",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -83,14 +99,14 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "7",
+   "id": "8",
    "metadata": {},
    "outputs": [],
    "source": []
   },
   {
    "cell_type": "markdown",
-   "id": "8",
+   "id": "9",
    "metadata": {},
    "source": [
     "## Exercise 3\n",

session3/numpy_basics.ipynb

@@ -701,7 +701,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "## Array Concatenation and Splitting\n",
+    "## Array Concatenation\n",
     "\n",
     "All of the preceding routines worked on single arrays. It's also possible to combine multiple arrays into one, and to conversely split a single array into multiple arrays. We'll take a look at those operations here."
    ]

session3/pandas_data_manipulation.ipynb

@@ -569,7 +569,8 @@
    "source": [
     "df = pd.DataFrame([[1,      np.nan, 2],\n",
     "                   [2,      3,      5],\n",
-    "                   [np.nan, 4,      6]])"
+    "                   [np.nan, 4,      6],\n",
+    "                   [np.nan, 4,      6],])"
    ]
   },
   {