examples/demo-clojupyter.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Clojupyter - Clojure in Jupyter Lab, Notebook, and Console"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This notebook demonstrates some of the features of Clojupyter.  Things that are shown here should work in both Jupyter Lab *and* Jupyter Notebook (and some of it in Jupyter Console as well, but since Clojure has the REPL we usually don't very much about Console).\n",
    "\n",
    "Jupyter Lab and Jupyter Notebook are different in some respects, this notebook only shows features that work in both.  There are separate demo notebooks showing clojupyter's support for features that are specific to either Lab or Notebook."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Basics: Evaluating Clojure expressions\n",
    "\n",
    "Clojupyter basically lets you evaluate Clojure expressions from a Jupyter notebook, at its most fundament it is not unlike a regular Clojure REPL:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\"Elapsed time: 0.262127 msecs\"\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "499500"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "(time (reduce + (range 1000)))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Note above that we both see the side-effects of printing *and* the result of evaluating the expression.  Let's see which version of Clojure and clojupyter we're using:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Date:\t\t\tFri Jan 10 11:20:00 GMT 2025\n",
      "Clojure version:\tv1.11\n",
      "Clojupyter version:\t0.4.355\n"
     ]
    }
   ],
   "source": [
    "(println (str \"Date:\\t\\t\\t\" (java.util.Date.)))\n",
    "(println (apply format \"Clojure version:\\tv%d.%d\" ((juxt :major :minor) *clojure-version*)))\n",
    "(println (str \"Clojupyter version:\\t\" (clojupyter.kernel.version/version-string)))\n",
    ";"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The **semicolon** at the end of the cell tells clojupyter not to print the result of evaluating the cell which is useful when we're only interested in side-effects such as loading libraries. In this instance the semicolon appears on its own line which is not necessary, as long as the semicolon is the last non-whitespace character it will have the effect of suppressing printing of the cell evaluation result."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Rich content at your fingertips"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can use [Hiccup](https://github.com/weavejester/hiccup) to render HTML.  To do this conveniently, we first add convenient access to the `clojupyter.display` namespace usng the alias `display`:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "nil"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "(require '[clojupyter.display :as display])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "which gives us convenient access to generating formatted output using HTML:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<ul><li>a <i>emphatic</i> idea</li><li>a <b>bold</b> idea</li><li>an <span style=\"text-decoration: underline;\">important</span> idea</li></ul>"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    ";; displaying html\n",
    "(display/hiccup-html \n",
    "    [:ul \n",
    "     [:li \"a \" [:i \"emphatic\"] \" idea\"]\n",
    "     [:li \"a \" [:b \"bold\"] \" idea\"]\n",
    "     [:li \"an \" [:span {:style \"text-decoration: underline;\"} \"important\"] \" idea\"]])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "which works for Scalable Vector Graphics (SVG) as well:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<svg height=\"100\" width=\"100\" xmlns=\"http://www.w3.org/2000/svg\"><circle cx=\"50\" cy=\"40\" fill=\"red\" r=\"40\"></circle></svg>"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "(display/hiccup-html\n",
    "    [:svg {:height 100 :width 100 :xmlns \"http://www.w3.org/2000/svg\"}\n",
    "            [:circle {:cx 50 :cy 40 :r 40 :fill \"red\"}]])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We also have direct access to displaying bitmaps, here a clokupyter logo:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Logo is of type: class java.awt.image.BufferedImage\n"
     ]
    },
    {
     "data": {
      "image/png": "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"
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "(->> clojupyter/*logo* type (str \"Logo is of type: \") println)\n",
    "clojupyter/*logo*"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Overall, we have very direct access to controlling what is displayed by Jupyter:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "This is plain text."
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "(display/render-mime \"text/plain\" \"This is plain text.\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<h1>This is a heading</h1>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "(display/render-mime \"text/html\" \"<h1>This is a heading</h1>\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "And we have all the facilities of Clojure at our disposal for generating the content in the notebook!"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Using external Clojure libraries"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "You can fetch external Clojure dependencies using `add-dependencies` in the namespace `clojupyter.misc.helper`:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Warning: protocol #'clojure.core.matrix.protocols/PMathsFunctions is overwriting function abs\n",
      "WARNING: abs already refers to: #'clojure.core/abs in namespace: clojure.core.matrix.protocols, being replaced by: #'clojure.core.matrix.protocols/abs\n",
      "WARNING: abs already refers to: #'clojure.core/abs in namespace: clojure.core.matrix, being replaced by: #'clojure.core.matrix/abs\n",
      "WARNING: abs already refers to: #'clojure.core/abs in namespace: clatrix.core, being replaced by: #'clatrix.core/abs\n",
      "WARNING: abs already refers to: #'clojure.core/abs in namespace: incanter.core, being replaced by: #'incanter.core/abs\n",
      "WARNING: abs already refers to: #'clojure.core/abs in namespace: user, being replaced by: #'incanter.core/abs\n",
      "WARNING: abs already refers to: #'clojure.core/abs in namespace: incanter.stats, being replaced by: #'incanter.core/abs\n",
      "WARNING: abs already refers to: #'clojure.core/abs in namespace: incanter.charts, being replaced by: #'incanter.core/abs\n"
     ]
    },
    {
     "data": {
      "text/html": [
       ":ok"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "(require '[clojupyter.misc.helper :as helper])\n",
    "(helper/add-dependencies '[incanter \"1.5.7\"])\n",
    "(use '(incanter core stats charts io)) ; include Incanter's facilities into working namespace\n",
    ":ok"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Example: Plotting using Incanter\n",
    "\n",
    "As shown above, clojupyter display bitmaps directly when [BufferedImage](https://docs.oracle.com/javase/7/docs/api/java/awt/image/BufferedImage.html) are returned. This makes it easy to use Java charting libraries, such as [Incanter](https://github.com/incanter/incanter), where charts are easily converted into a bitmaps. Since Incanter simply wraps the Java charting library [JFreeChart](https://github.com/incanter/incanter), we can call \n",
    "`(.createBufferedImage chart width height)` on any Incanter chart to get an image we can render as cell output:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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"
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "(-> (sample-normal 10000)\n",
    "    histogram\n",
    "    (.createBufferedImage 600 400))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Here's an example of a scatter plot:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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"
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "(-> (scatter-plot (sample-normal 1000) \n",
    "                  (sample-normal 1000)\n",
    "                  :x-label \"x\" :y-label \"y\")\n",
    "    (.createBufferedImage 600 400)) "
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {},
   "source": [
    "See the other demo notebooks to see features specific to either Jupyter Lab or Jupyter Notebook."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "And with a very liberal license, you can do pretty much whatever you want with clojupyter:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "clojupyter/*license*"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**We hope you'll enjoy clojupyter!**"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Clojure (clojupyter-0.4.355355)",
   "language": "clojure",
   "name": "clojupyter-0.4.355355"
  },
  "language_info": {
   "file_extension": ".clj",
   "mimetype": "text/x-clojure",
   "name": "clojure",
   "version": "1.11.3"
  },
  "toc": {
   "base_numbering": 1,
   "nav_menu": {},
   "number_sections": false,
   "sideBar": false,
   "skip_h1_title": false,
   "title_cell": "Table of Contents",
   "title_sidebar": "Contents",
   "toc_cell": false,
   "toc_position": {},
   "toc_section_display": false,
   "toc_window_display": false
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}