Reduce footprint in intro notebook (#347)

* Create some basic ascii art in notebook.

* Remove extra dependencies

Author: delucchi-cmu

python-project-template/pyproject.toml.jinja

@@ -53,8 +53,6 @@ dev = [
     "nbconvert", # Needed for pre-commit check to clear output from Python notebooks
     "nbsphinx", # Used to integrate Python notebooks into Sphinx documentation
     "ipython", # Also used in building notebooks into Sphinx
-    "matplotlib", # Used in sample notebook intro_notebook.ipynb
-    "numpy", # Used in sample notebook intro_notebook.ipynb
 {%- endif %}
 {%- if include_benchmarks %}
     "asv==0.6.1", # Used to compute performance benchmarks

python-project-template/{% if include_docs %}docs{% endif %}/notebooks/{% if include_notebooks %}intro_notebook.ipynb{% endif %}

@@ -7,11 +7,13 @@
     "cell_marker": "\"\"\""
    },
    "source": [
-    "# Introducing Jupyter Notebooks\n",
+    "# Introducing Jupyter Notebooks in Sphinx\n",
     "\n",
-    "_(The example used here is JamesALeedham's notebook: [intro.ipynb](https://github.com/JamesALeedham/Sphinx-Autosummary-Recursion/blob/master/docs/notebooks/intro.ipynb))_\n",
+    "This notebook showcases very basic functionality of rendering your jupyter notebooks as tutorials inside your sphinx documentation.\n",
     "\n",
-    "First, set up the environment:"
+    "As part of the LINCC Frameworks python project template, your notebooks will be executed AND rendered at document build time.\n",
+    "\n",
+    "You can read more about Sphinx, ReadTheDocs, and building notebooks in [LINCC's documentation](https://lincc-ppt.readthedocs.io/en/latest/practices/sphinx.html)"
    ]
   },
   {
@@ -21,18 +23,17 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "import matplotlib\n",
-    "import matplotlib.pyplot as pl\n",
-    "import numpy as np\n",
-    "\n",
-    "try:\n",
-    "    from IPython import get_ipython\n",
-    "    get_ipython().run_line_magic('matplotlib', 'inline')\n",
-    "except AttributeError:\n",
-    "    print('Magic function can only be used in IPython environment')\n",
-    "    matplotlib.use('Agg')\n",
-    "\n",
-    "pl.rcParams[\"figure.figsize\"] = [15, 8]"
+    "def sierpinsky(order):\n",
+    "    \"\"\"Define a method that will create a Sierpinsky triangle of given order,\n",
+    "    and will print it out.\"\"\"\n",
+    "    triangles = [\"*\"]\n",
+    "    for i in range(order):\n",
+    "        spaces = \" \" * (2**i)\n",
+    "        triangles = [spaces + triangle + spaces for triangle in triangles] + [\n",
+    "            triangle + \" \" + triangle for triangle in triangles\n",
+    "        ]\n",
+    "    print(f\"Printing order {order} triangle\")\n",
+    "    print(\"\\n\".join(triangles))"
    ]
   },
   {
@@ -43,56 +44,26 @@
     "lines_to_next_cell": 1
    },
    "source": [
-    "Then, define a function that creates a pretty graph:"
+    "Then, call our method a few times. This will happen on the fly during notebook rendering."
    ]
   },
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "funded-protection",
-   "metadata": {
-    "lines_to_next_cell": 1
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
-    "def SineAndCosineWaves():\n",
-    "    # Get a large number of X values for a nice smooth curve. Using Pi as np.sin requires radians...\n",
-    "    x = np.linspace(0, 2 * np.pi, 180)\n",
-    "    # Convert radians to degrees to make for a meaningful X axis (1 radian = 57.29* degrees)\n",
-    "    xdeg = 57.29577951308232 * np.array(x)\n",
-    "    # Calculate the sine of each value of X\n",
-    "    y = np.sin(x)\n",
-    "    # Calculate the cosine of each value of X\n",
-    "    z = np.cos(x)\n",
-    "    # Plot the sine wave in blue, using degrees rather than radians on the X axis\n",
-    "    pl.plot(xdeg, y, color='blue', label='Sine wave')\n",
-    "    # Plot the cos wave in green, using degrees rather than radians on the X axis\n",
-    "    pl.plot(xdeg, z, color='green', label='Cosine wave')\n",
-    "    pl.xlabel(\"Degrees\")\n",
-    "    # More sensible X axis values\n",
-    "    pl.xticks(np.arange(0, 361, 45))\n",
-    "    pl.legend()\n",
-    "    pl.show()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "thorough-cutting",
-   "metadata": {
-    "cell_marker": "\"\"\""
-   },
-   "source": [
-    "Finally, call that function to display the graph:"
+    "for order in range(3):\n",
+    "    sierpinsky(order)"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "imported-uruguay",
    "metadata": {},
    "outputs": [],
    "source": [
-    "SineAndCosineWaves()"
+    "sierpinsky(4)"
    ]
   }
  ],
@@ -104,7 +75,7 @@
    "display_name": "Python 3",
    "language": "python",
    "name": "python3"
-  }
+    }
  },
  "nbformat": 4,
  "nbformat_minor": 5

python-project-template/{% if include_docs %}docs{% endif %}/requirements.txt.jinja

@@ -6,6 +6,4 @@ nbsphinx
 ipython
 jupytext
 jupyter
-matplotlib
-numpy
 {%- endif %}