Update markdown instructions for Penguin classification exercise (1)

exercises/01_penguin_classification.ipynb

@@ -23,20 +23,23 @@
     "### Task 1: look at the data\n",
     "In the following code block, we import the ``load_penguins`` function from the ``palmerpenguins`` package.\n",
     "\n",
-    "- Call this function, which returns a single object, and assign it to the variable ``data``.\n",
-    "  - Print ``data`` and recognise that ``load_penguins`` has returned a ``pandas.DataFrame``.\n",
-    "- Consider which features it might make sense to use in order to classify the species of the penguins.\n",
-    "  - You can print the column titles using ``pd.DataFrame.keys()``\n",
-    "  - You can also obtain useful information using ``pd.DataFrame.Series.describe()``"
+    "- Call this function, which returns a single object in the form of a ``pandas.DataFrame``, and assign it to the variable ``data``.\n",
+    "  - Print ``data`` and recognise that ``load_penguins`` has returned the dataframe.\n",
+    "- Analyse which features it might make sense to use in order to classify the species of the penguins.\n",
+    "  - You can print the column names using ``pd.DataFrame.keys()``\n",
+    "  - You can also obtain useful statical information on the dataset using ``pd.DataFrame.Series.describe()``"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [],
    "source": [
-    "from palmerpenguins import load_penguins"
+    "from palmerpenguins import load_penguins\n",
+    "\n",
+    "# Load the penguin data\n",
+    "penguins = load_penguins()\n"
    ]
   },
   {
@@ -402,7 +405,7 @@
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-   "display_name": "Python 3 (ipykernel)",
+   "display_name": ".venv",
    "language": "python",
    "name": "python3"
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@@ -416,7 +419,7 @@
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    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.4"
+   "version": "3.12.4"
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