#10 change index to include numpy notebook

README.md

@@ -0,0 +1,10 @@
+# Data Science Tutorial
+
+<!-- WARNING: THIS FILE WAS AUTOGENERATED! DO NOT EDIT! -->
+
+## Numpy
+
+Numpy is the basis of a lot of stuff in related to data science in
+Python. Here’s a [notebook](numpy.ipynb) covering the base features.
+
+## Pandas

_quarto.yml

@@ -0,0 +1,20 @@
+project:
+  type: website
+
+format:
+  html:
+    theme: cosmo
+    css: styles.css
+    toc: true
+
+website:
+  twitter-card: true
+  open-graph: true
+  repo-actions: [issue]
+  navbar:
+    background: primary
+    search: true
+  sidebar:
+    style: floating
+
+metadata-files: [nbdev.yml, sidebar.yml]

index.ipynb

@@ -7,7 +7,7 @@
    "source": [
     "# Data Science Tutorial\n",
     "\n",
-    "This is the overview notebook."
+    "This tutorial covers topics that are relevant or interesting for me for some kind of reason 😄. Have fun!"
    ]
   },
   {
@@ -17,7 +17,7 @@
    "source": [
     "## Numpy\n",
     "\n",
-    "Link to [Numpy Tutorial](tutorial/numpy_pandas/numpy.ipynb)"
+    "Numpy is the basis of a lot of stuff in related to data science in Python. Here's a [notebook](numpy.ipynb) covering the base features."
    ]
   },
   {

nbdev.yml

@@ -0,0 +1,9 @@
+project:
+  output-dir: _docs
+
+website:
+  title: "Data Science Tutorial"
+  site-url: "https://ephes.github.io/data_science_tutorial"
+  description: "Python data science and machine learning tutorial"
+  repo-branch: main
+  repo-url: "https://github.com/ephes/data_science_tutorial"

numpy.ipynb

@@ -48,7 +48,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "## ? help / ??\n",
+    "## ? / help / ??\n",
     "\n",
     "- Just append a `?` to an item to see the docstring or call `help(item)`\n",
     "- Append `??` to view the source"
@@ -396,7 +396,7 @@
      "traceback": [
       "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
       "\u001b[0;31mValueError\u001b[0m                                Traceback (most recent call last)",
-      "Cell \u001b[0;32mIn[35], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m \u001b[43ma\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m@\u001b[39;49m\u001b[43m \u001b[49m\u001b[43mc\u001b[49m\n",
+      "Cell \u001b[0;32mIn[22], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m \u001b[43ma\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m@\u001b[39;49m\u001b[43m \u001b[49m\u001b[43mc\u001b[49m\n",
       "\u001b[0;31mValueError\u001b[0m: matmul: Input operand 1 has a mismatch in its core dimension 0, with gufunc signature (n?,k),(k,m?)->(n?,m?) (size 4 is different from 3)"
      ]
     }
@@ -552,7 +552,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "39.3 ms ± 600 µs per loop (mean ± std. dev. of 7 runs, 10 loops each)\n"
+      "38.6 ms ± 472 µs per loop (mean ± std. dev. of 7 runs, 10 loops each)\n"
      ]
     }
    ],
@@ -571,7 +571,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "858 µs ± 19 µs per loop (mean ± std. dev. of 7 runs, 1,000 loops each)\n"
+      "837 µs ± 18.5 µs per loop (mean ± std. dev. of 7 runs, 1,000 loops each)\n"
      ]
     }
    ],
@@ -605,7 +605,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "27.4 ms ± 306 µs per loop (mean ± std. dev. of 7 runs, 10 loops each)\n"
+      "27 ms ± 128 µs per loop (mean ± std. dev. of 7 runs, 10 loops each)\n"
      ]
     }
    ],
@@ -635,7 +635,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "70.3 ms ± 1.21 ms per loop (mean ± std. dev. of 7 runs, 10 loops each)\n"
+      "78.9 ms ± 468 µs per loop (mean ± std. dev. of 7 runs, 10 loops each)\n"
      ]
     }
    ],
@@ -656,7 +656,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "2.18 ms ± 9.55 µs per loop (mean ± std. dev. of 7 runs, 100 loops each)\n"
+      "2.22 ms ± 30.7 µs per loop (mean ± std. dev. of 7 runs, 100 loops each)\n"
      ]
     }
    ],

sidebar.yml

@@ -0,0 +1,5 @@
+website:
+  sidebar:
+    contents:
+      - index.ipynb
+      - numpy.ipynb