An example repository for binderlite that contains a guix-jupyter python notebook
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{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Binderlite Demo\n",
"\n",
"![Binderlite](https://raw.githubusercontent.com/jgarte/binderlite-example/main/deploy-with-guix-badge.svg)\n",
"\n",
"Project source code: [binderlite-demo](https://git.sr.ht/~jgart/binderlite-demo).\n",
"\n",
"Example Binderlite Repository: [binderlite-example](https://github.com/jgarte/binderlite-example)."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"---\n",
"\n",
"## Using IPython\n",
"\n",
"### Create an environment with IPython"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
";;guix environment my-ipython <- python-ipython python-ipykernel"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"---\n",
"\n",
"### Run code in the IPython kernel"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
";;guix environment my-ipython\n",
"# This is python lang !\n",
"def hello ():\n",
" print (\"Hello Jupyter !\")\n",
" \n",
"hello ()"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
";;guix environment my-ipython\n",
"import os\n",
"os.getcwd()"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"os.getuid()"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"os.getpid()"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"os.listdir('/')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## A Matplotlib environment"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
";;guix environment matplotlib-env <- python-ipython python-ipykernel python-ipywidgets python-matplotlib"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
";;guix environment matplotlib-env\n",
"%matplotlib inline\n",
"from matplotlib import pyplot as plt\n",
"from matplotlib import style\n",
"import random\n",
"x = random.sample(range(1, 5000), 1000)\n",
"num_bins = 100\n",
"n, bins, patches = plt.hist(x, num_bins, facecolor='green', alpha=0.5)\n",
"\n",
"plt.title('Histogram Example')\n",
"plt.xlabel('Values')\n",
"plt.xlabel('Counts')\n",
"plt.show() "
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Guix",
"language": "scheme",
"name": "guix"
},
"language_info": {
"codemirror_mode": "scheme",
"file_extension": ".scm",
"mimetype": "application/x-scheme",
"name": "guile",
"pygments_lexer": "scheme",
"version": "3.0"
}
},
"nbformat": 4,
"nbformat_minor": 2
}