add pandas notebook

README.md

@@ -11,11 +11,20 @@ colab](https://colab.research.google.com/github/ephes/data_science_tutorial/blob
 Is it possible to link directly to [word frequency
 distribution](text_classification.ipynb#Word-frequency-distribution)?
 
+# Foundations
+
+🏗 I added the notebooks below already because they should work, but they
+are also still very much work in progress. 👷
+
 ## Numpy
 
 Numpy is the basis of a lot of stuff in related to data science in
-Python. Here’s an [overview covering the base features](numpy.ipynb).
+Python. Here’s an [overview covering the base features](numpy.ipynb)
+([open in google
+colab](https://colab.research.google.com/github/ephes/data_science_tutorial/blob/main/numpy.ipynb)).
 
 ## Pandas
 
-Pandas is very useful
+Pandas is very useful - [basic feature overview](pandas.ipynb) ([open in
+google
+colab](https://colab.research.google.com/github/ephes/data_science_tutorial/blob/main/pandas.ipynb)).

index.ipynb

@@ -41,7 +41,7 @@
    "source": [
     "## Numpy\n",
     "\n",
-    "Numpy is the basis of a lot of stuff in related to data science in Python. Here's an [overview covering the base features](numpy.ipynb) ([open in google colab](https://colab.research.google.com/github/ephes/data_science_tutorial/blob/main/text_classification.ipynb))."
+    "Numpy is the basis of a lot of stuff in related to data science in Python. Here's an [overview covering the base features](numpy.ipynb) ([open in google colab](https://colab.research.google.com/github/ephes/data_science_tutorial/blob/main/numpy.ipynb))."
    ]
   },
   {
@@ -51,16 +51,8 @@
    "source": [
     "## Pandas\n",
     "\n",
-    "Pandas is very useful"
+    "Pandas is very useful - [basic feature overview](pandas.ipynb) ([open in google colab](https://colab.research.google.com/github/ephes/data_science_tutorial/blob/main/pandas.ipynb))."
    ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "19f2ba78-6e10-40ea-988f-808bca245562",
-   "metadata": {},
-   "outputs": [],
-   "source": []
   }
  ],
  "metadata": {

sidebar.yml

@@ -3,4 +3,5 @@ website:
     contents:
       - index.ipynb
       - numpy.ipynb
+      - pandas.ipynb
       - text_classification.ipynb