Skip to content

Instantly share code, notes, and snippets.

@mndrake
Created January 29, 2015 02:43
Show Gist options
  • Save mndrake/5d00eceea245704e8cf1 to your computer and use it in GitHub Desktop.
Save mndrake/5d00eceea245704e8cf1 to your computer and use it in GitHub Desktop.
IfSharp notebook ala OS X
Display the source blob
Display the rendered blob
Raw
{
"metadata": {
"language": "fsharp",
"name": "",
"signature": "sha256:d3470164771100fb3110193abfa9dc233e9718f5556798a6777c8f1feef31aed"
},
"nbformat": 3,
"nbformat_minor": 0,
"worksheets": [
{
"cells": [
{
"cell_type": "code",
"collapsed": false,
"input": [
"let f(x) = x + 2\n",
"f(2)"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 1,
"text": [
"4"
]
}
],
"prompt_number": 1
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"Util.Url(\"http://fsharp.org/img/logo/fsharp256.png\")"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"png": "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",
"prompt_number": 2
}
],
"prompt_number": 2
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"Util.Math(\"f(x) = sin(x)\")"
],
"language": "python",
"metadata": {},
"outputs": [
{
"latex": [
"$$f(x) = sin(x)$$"
],
"metadata": {},
"output_type": "pyout",
"prompt_number": 3
}
],
"prompt_number": 3
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"let data = [ (\"F#\", 10); (\"C#\", 5); (\"C++\", 20); (\"Java\", 1); ]\n",
"Util.Table(data)"
],
"language": "python",
"metadata": {},
"outputs": [
{
"html": [
"<table><thead><tr><th>Item1</th><th>Item2</th></tr></thead><tbody><tr><td>F#</td><td>10</td></tr><tr><td>C#</td><td>5</td></tr><tr><td>C++</td><td>20</td></tr><tr><td>Java</td><td>1</td></tr><tbody></tbody></table>"
],
"metadata": {},
"output_type": "pyout",
"prompt_number": 4
}
],
"prompt_number": 4
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"(Chart.Line [ for x in 0.0 .. 10.0 -> (x, x ** 2.0) ]).ToPng() |> Util.Image"
],
"language": "python",
"metadata": {},
"outputs": [
{
"jpeg": "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",
"metadata": {},
"output_type": "pyout",
"prompt_number": 12
}
],
"prompt_number": 12
},
{
"cell_type": "code",
"collapsed": false,
"input": [],
"language": "python",
"metadata": {},
"outputs": []
}
],
"metadata": {}
}
]
}
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment