posts/blogging-with-nikola-and-ipython.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> **Alert!** This post is outdated, please `goto` ;-) this [link](../posts/ipython-plugin-for-nikola-updated.html) to get updated information."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**NOTE**: Obviously, this post was written in the IPython notebook and was rendered by Nikola (helped by nbconvert)."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**INGREDIENTS**:"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "* [Nikola](https://github.com/ralsina/nikola)\n",
    "\n",
    "**NOTE: The theme was tested with Nikola version [5.1](https://github.com/ralsina/nikola/tags)**\n",
    "\n",
    "* [IPython](https://github.com/ipython/ipython)\n",
    "* [site-ipython](https://github.com/damianavila/site-ipython-theme-for-Nikola.git) theme for Nikola \n",
    "* [compile_ipynb](https://github.com/damianavila/compile_ipynb-for-Nikola.git) for Nikola "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<!-- TEASER_END -->"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**STEPS**:"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "* Install Nikola and IPython (probably you have IPython installed if you are reading this post).\n",
    "* Install the [site-ipython theme](https://github.com/damianavila/site-ipython-theme-for-Nikola.git) in your Nikola instalation. You can see some the documentation about how to do it [here](http://nikola.ralsina.com.ar/handbook.html).\n",
    "\n",
    "NOTE: Another way to do it is copying the site-ipython theme inside the nikola/data/themes folder BEFORE installing Nikola. \n",
    "\n",
    "**NOTE2: The recommended way to do it would be copying the site-ipython theme inside your_site after initialization of your_site. See below.**\n",
    "\n",
    "* Initialize your_site:\n",
    "\n",
    "`nikola init your_site`\n",
    "\n",
    "you can ask for \n",
    "\n",
    "`nikola --help` \n",
    "\n",
    "for other available options.\n",
    "\n",
    "* Create a plugins folder inside your_site\n",
    "* Copy the compile_ipynb plugin (compile_ipynb.plugin file and the compile_ipynb folder, which are is located inside the extra-plugins folder in the Nikola master) in your_site/plugins/ folder.\n",
    "* Then, download the custom nbconvert and nbformat from [here](https://github.com/damianavila/compile_ipynb-for-Nikola.git) and put them inside your_site/plugins/compile_ipynb/ folder.\n",
    "* Finally, you have to put: \n",
    "\n",
    "```\n",
    "post_pages = (\n",
    "    (\"posts/*.ipynb\", \"posts\", \"post.tmpl\", True),\n",
    "    (\"stories/*.ipynb\", \"stories\", \"story.tmpl\", False),\n",
    ")\n",
    "```\n",
    "\n",
    "and\n",
    "\n",
    "    THEME = 'site-ipython'\n",
    "\n",
    "in your conf.py file of your_site (you can modified the other pieces inside conf.py according to your needs)."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### NOTE: This setup is done only once time a life... hehe"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**USE**:"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "* First create a new post: \n",
    "\n",
    "`nikola new_post -f ipynb`"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**NOTE**: **IGNORE** the -2 option in nikola new_page (it is no sense with the current implementation)."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "You will be asked for a title (you can also add the title and tags in the previous call)."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Then, two files will be created by Nikola in the /posts folder of your_site: a meta file containing title, slug, time, tags (you can modified them with any text processor) and a **naive** ipynb file with the corresponding title."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "You can init the `ipython notebook` inside this folder and modified the *\"post\"* notebook as you wish (do not forget to save the changes inside your notebook)."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "* Finally, just: \n",
    "\n",
    "`nikola build`"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "and deploy the output folder containing your_site... to see it locally: \n",
    "\n",
    "`nikola serve`"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**That's it all, my friend!**"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "If you have any doubt, just tell me: [@damianavila](https://twitter.com/damian_avila)\n",
    "\n",
    "Cheers,\n",
    "\n",
    "Damián"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "PS: And now some cells to show you this is areal notebook..."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "u'/home/damian/Desarrollos/To_PR/SITIOS/Damian_blog_nikola/posts'"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pwd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Welcome to pylab, a matplotlib-based Python environment [backend: module://IPython.zmq.pylab.backend_inline].\n",
      "For more information, type 'help(pylab)'.\n"
     ]
    }
   ],
   "source": [
    "%pylab inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
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Hj6K3txfbtm1DdXX1sGtOnDgx5Onv3bsXlmUhh7UmgALs3k124bql2ulGHOyd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\nRU5ErkJggg==\n"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "x = linspace(0, 3*pi, 500)\n",
    "plot(x, sin(x**2))\n",
    "title('A simple chirp');"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "ename": "ZeroDivisionError",
     "evalue": "integer division or modulo by zero",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m\n\u001b[1;31mZeroDivisionError\u001b[0m                         Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-4-dc39888fd1d2>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m()\u001b[0m\n\u001b[0;32m      1\u001b[0m \u001b[0mx\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;36m1\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      2\u001b[0m \u001b[0my\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;36m4\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 3\u001b[1;33m \u001b[0mz\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0my\u001b[0m\u001b[1;33m/\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m-\u001b[0m\u001b[0mx\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[1;31mZeroDivisionError\u001b[0m: integer division or modulo by zero"
     ]
    }
   ],
   "source": [
    "x = 1\n",
    "y = 4\n",
    "z = y/(1-x)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Courtesy of MathJax, you can include mathematical expressions both inline: \n",
    "$e^{i\\pi} + 1 = 0$  and displayed:\n",
    "\n",
    "$$e^x=\\sum_{i=0}^\\infty \\frac{1}{i!}x^i$$"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<img src=\"http://python.org/images/python-logo.gif\" />"
      ],
      "text/plain": [
       "<IPython.core.display.Image at 0xa13b74c>"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from IPython.display import Image\n",
    "Image(url='http://python.org/images/python-logo.gif')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "            <iframe\n",
       "                width=\"400\"\n",
       "                height=\"300\"\n",
       "                src=\"http://www.youtube.com/embed/1j_HxD4iLn8\"\n",
       "                frameborder=\"0\"\n",
       "                allowfullscreen\n",
       "            ></iframe>\n",
       "        "
      ],
      "text/plain": [
       "<IPython.lib.display.YouTubeVideo at 0xa7d0bcc>"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from IPython.display import YouTubeVideo\n",
    "# a talk about IPython at Sage Days at U. Washington, Seattle.\n",
    "# Video credit: William Stein.\n",
    "YouTubeVideo('1j_HxD4iLn8')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "OK, enough... see you soon!"
   ]
  }
 ],
 "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": "3.6.8"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}