{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Tutor Magic in IPython\n",
"\n",
"This notebook demonstrates the %%tutor magic as used in IPython notebook.\n",
"\n",
"First, you'll need the following installed:\n",
"\n",
"1. IPython/Jupyter\n",
"2. [Metakernel](https://github.com/Calysto/metakernel)\n",
"\n",
"Next, you'll need to use the magics in IPython:"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"from metakernel import register_ipython_magics\n",
"register_ipython_magics()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Finally, put a %%tutor at the top of any cell with Python code, and watch the visualization:"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/html": [
"\n",
" \n",
" "
],
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"%%tutor\n",
"\n",
"mylist = []\n",
"\n",
"for i in range(10):\n",
" mylist.append(i ** 2)"
]
},
{
"cell_type": "markdown",
"metadata": {
"collapsed": true
},
"source": [
"Try it out!"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.4.3"
}
},
"nbformat": 4,
"nbformat_minor": 0
}