examples/example-display.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Display examples\n",
    "This notebook shows some examples on how to show data with the `jupyternimpkg/display` package"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "A markdown file:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/markdown": [
       "# A markdown file\n",
       "\n",
       "Some text"
      ],
      "text/plain": [
       "# A markdown file\n",
       "\n",
       "Some text"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "show with no sizesdkTextFile\n"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import jupyternimpkg/display\n",
    "show dkTextFile:\n",
    "    \"mdfile.md\""
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "A `png`:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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"
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "show with no sizesdkImageFile\n"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import jupyternimpkg/display\n",
    "show dkImageFile: \n",
    "    \"pngfile.png\""
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "A `.gif`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/gif": 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     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "show with sizesdkImageFile\n"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import jupyternimpkg/display\n",
    "# a desired image size can be specified too\n",
    "show dkImageFile, [320,240]: \n",
    "    \"giffile.gif\""
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Print some latex, also with interpolations:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/latex": [
       "$$x = \\frac{1}{2}$$"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/latex": [
       "$$ x = \\begin{cases} 5!, & \\mbox{if } 5>0 \\\\ 0, & \\mbox{otherwise} \\end{cases} = 120 $$"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "\n"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "latex \"x = \\\\frac{1}{2}\"\n",
    "import math, strutils\n",
    "let x = if 5>0: fac(5) else: 0\n",
    "latex \"\"\" x = \\begin{cases} 5!, & \\mbox{if } 5>0 \\\\ 0, & \\mbox{otherwise} \\end{cases} = $1 \"\"\" % $x"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Similar `proc`s are available with `html`, `md` , and they can live in the same codecell"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/markdown": [
       "# Mixing stuff"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/latex": [
       "$$x = \\frac{1}{2}= 0.5$$"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "hi\n"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import jupyternimpkg/display\n",
    "\n",
    "md \"# Mixing stuff\"\n",
    "\n",
    "latex \"x = \\\\frac{1}{2}=\", 1/2\n",
    "\n",
    "echo \"hi\""
   ]
  }
 ],
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  "kernelspec": {
   "display_name": "Nim",
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   "name": "jupyternimspec"
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   "mimetype": "text/x-nim",
   "name": "nim",
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