web-ansol.org/themes/academic/exampleSite/content/post/jupyter/index.ipynb

{
 "cells": [
  {
   "cell_type": "raw",
   "metadata": {},
   "source": [
    "---\n",
    "title: Display Jupyter Notebooks with Academic\n",
    "subtitle: Learn how to blog in Academic using Jupyter notebooks\n",
    "summary: Learn how to blog in Academic using Jupyter notebooks\n",
    "authors:\n",
    "- admin\n",
    "tags: []\n",
    "categories: []\n",
    "date: \"2019-02-05T00:00:00Z\"\n",
    "lastMod: \"2019-09-05T00:00:00Z\"\n",
    "featured: false\n",
    "draft: false\n",
    "\n",
    "# Featured image\n",
    "# To use, add an image named `featured.jpg/png` to your page's folder. \n",
    "image:\n",
    "  caption: \"\"\n",
    "  focal_point: \"\"\n",
    "\n",
    "# Projects (optional).\n",
    "#   Associate this post with one or more of your projects.\n",
    "#   Simply enter your project's folder or file name without extension.\n",
    "#   E.g. `projects = [\"internal-project\"]` references \n",
    "#   `content/project/deep-learning/index.md`.\n",
    "#   Otherwise, set `projects = []`.\n",
    "projects: []\n",
    "---"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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ZGd9ysixjamqqp17YdDqNyclJofdmtqub4VSR3kDzj6OxsbGeApZVJpMJNNfKHFKl7jBkheTr/+cFXLl2A20hwh6wuu1B8gwxgj1QXue3tNXtXOY7cT6XW9vgUt4W0KzsASlwT5atTQaAay8A117EoBD5hVwsFiO5gkmSJBw+fFjoF+z8/Hyo6w7R4FAUBUeOHOk5xBeLReFejqBzgqxOnDjh+7No/hER1h8lonOuzDXCohBGL7YTWZYDzbXienfdY8gKwdLFBk5WXoNTwOktYIXQS9QxydwW0ATCXPcBy/Bom9H20KajJ8sanqyPtv0dr1mOP/9NhxOtT+l0WnheUC+9DzR4JElCsVjE5OSk0ArwIorFonCvyHPPPRe4fk3ThIYlDx06FPrwtuhCveVyOfAFLP0WZK5V0t7bIGHICsGzvwy6iru5TzSECAYsw77tULdTz5Bj3SIBy+goLxwmW4faUpZTQLK/17YytnZ09GStbl8+BVpTKBSE/kJWVZW9WUMil8vh2LFjod8+JZVKuV4MYNfN8gQi87D8Jrh3S5Ik4fc2Ozsb+vmjJvreGLK6x5AVgpOVV5tPhAKWsfafVwhpPbiEGIEhPu+6RQKWQ3gJcHzbc8e2GsjscricvSNg+fRS2c/h1Mv19pWBGjIcBIWC2Bpi8/PzEbeEonbw4EEcOnQotHk9dvl8XqgXKeiHtUjIlyQJ4+PjgeoNwryy14+5FESSmDeL9hPXgq/DiCGrR1eu3VhdsmEtEAS+D6E9hADw7CUKZUK8ue0VsOBzvNf53eu2NBBbpc1o8/YVdAYsazusAcuhTq95W+zNaiPaoxHlyuAUjzhu3Cw6UTxIz6jIcPVDDz0U+VWwoiEuiReL8MrBaDFk9ej0K+dtAQuCAcslhADtIaaLIT7nuty2O48Xv02OQ9vatr2+Dk333LGtbRvXX3YIWLYeq24CFgBc4eRNK0mShK4oMxc1JfIiOlwnGrI0TRMqe+BA9MuzpNNpoX8rom0eJFwPL1oMWT06s3R59ZngbXK8QohZxhTZFYcCAcs+HOl3fNC5ZKv2Zu5d23ANWD6P1vN7PV79Wcf51zvRX7DdzKWh9SXIEhAiRHpQnRZMjYpoz2/ShtejGkKmJoasHp1++TzWApYl4LiFAK8QIhSwHHqQnEKMb0DqbGugVdxDCFgA8KA1ZDWe7zwmrIBl1tsw1zIjQDxkJW2uCfVHmIFHpPc0rCskReRyOaFhyaT9W4ljKHk9Y8jq0U9fXrYErFWuQ3wiISRgD1LXAau9reHeJkcsYD3y/vtxt3W4cGWh/WsXdsAywN4sG9FfsLquJ24YhOIncl9GEYuLi0KTreOeTyQS6mq1Gv+tUAtDVg+WLjaaT4R7oOATQkRCjFP5IAGts62et8lxuSrQt26fgAUABz/y/rWNt96wXP0XUcBiT5Yj0d4AXsZNcRHtDYq7F4Y9vxQUQ1YPzixdRvCAhbV9gQNWDwGtLTA1nzdrczqXW90i79WlvM3Bj7wfe/fcs7bj/F+t1SPSk9VNwDIAXF9ybdN6Jdr7wJBFcRG9YXLc99YUDXX8t0ImhqweLC5dWn0WsAfJM8QI9kAFDVi23i7DrWzroZuA5RTQOmV2jeCxRz+0tqPxc+Dygnsw6rYny+m4FV4lZyc6j4Z/nVNcRELKrl27YmhJO9GeLIYsMjFk9aA5XCjaA2Vu99hLZH/Nfn77VYEO5+o+YImESdt7scnsGsFffuEPsTV1a3PHzavA8lPtAakVjGxfL+v+bgKW+fj2Fdf2rUeivQFckJDiIvKzFncvVhAMWWRiyOrB0oWrtoAVNIT4BCzDvu1Qd+t46+tOdYsELMOjbT5hsnWoe8Dam7m3PWABwPKTa3OxnN6rU8BqNcPWbqGgZnBelg2HQGiQiP6c9euqOJE5jPyDhEyb+t2AJLvSuAHhENJ6cAkxoczX8j6+91XcXc7vE662pTbjsY9/EBO///72F974C+DSfHv91qDXEbQc2toWouztcjmeiAZWo9HodxNCUavVuDwCMWT1on1OFtaeA8FCTGgByz3MhXObHOe63QJWZtcIPv7Qu/Ho772nvfcKiCBg+dVjeVypAFvDXThxveAHB5GYYQmL1BuGrJ75hBDAIRi4vBZSwNr7rruQufcObE3d4pB/bDsce3eMtgfnEGU47jZXcM/sGukMVkBzDtbSvwLqfwt0BCSX8Ck878p8TeA46go/OIiIxDFk9cKvB6mtjFP5AD1Inscb2Puuu/HoBx/AI++TsfU2h3AzCC7+z+ZSDW9fRfgBK2A91DLIE4iJiJKMIatngsNoYU6It2zvfdddeOxj70fugbt6extRuXkVWJkHLpaBG7/pLRgFCVqex4f4/oYAh/+IiKLBkNUTkYAkMuTndbxTeQPbUrfiMx/7u5h4+D3uzXvrLGBcdQkVhuem40GGz+vm7rd+A9x4A6j/CHjzRf9gFXbAYk9WILxqkIgoGgxZvep5TpVTee/jt6VuxfHDH8Wee3ba2lIHrn0fePP7wI2z6DqAhBZkBI7vS8Bi0LLi5eZE4WMPMQEMWT3J3L3d4QrDIAEreEBzDFhGHah/E7j2g+bwnL2+qAKS1/Fh1xN2cCOigSR6B4JB/+MglUr1uwk0ABiyerA1dcvqM7eAZPlA9wpYHT0sAQLWW2eBlX8HvL08eAFpUAMWc1bXRD8Aibol+jPWr2FukfPyYhIyccX3HozulBB5wDKMVpkvfjLfHrCunwYu/evBDFiGYCCKPWAZwPa9oDVBegQYsigOIj9n/VpOROS8HCokE0NWD0Z3SsECljVU2F/rON5oK/vI+3bh4fda/uG+dRZYeRIw6tH0HIURkGIJfIZLfYZHvSALTnynQTMyMuJbph8/t7quC5VjyCITQ1YPMqM7EChgtZW1BSzDKSi0KsIXPvEhy2a92YMVVcAKqz63IGTd73i8IdgOa2iyHw/3erfnQGtEe7IURYm4JURNoj9rcQet5eVloXIMWWRiyOpBc7gQcAwengELa8/N8q7bBh794AO4e+eWtRNf/asIApZbsAkakGzttwche0BybIdlv2s7bMd0HO9QxgCweRTUTvSDikOFFJdBvWm5pmlC5fgHCZkYsnqwZ/T29iAAtIeHngNW8+HgI5a1sN5ebi7T0BFk3Hp6fAKVPdh49RQJBSSHoOkVfvzKOLbD4Wvt+DVw2M/5WB1EP6h2794dcUuImrJZsXuLioaesIgMF6bTaf5BQi0MWT3ae/87ESxgOQQfj4A1escW7LnnjrVqr/2NS0ixnUO0p8jeLq9eINfw41TGHu6cjnFph7V9nuHQWsYjZFq/D1IGtKZWqwlPIM5kwv3acS4Yecnl/If14w5ZIudjLxZZMWT1KHPP7c0ntiE+94AFh/Ju2wYeeZ+t96Dx/bbX254H7imytcs1yNjq9Qpq1sewAlKY88d2PgxaI/ohJUlS6PNMeLNp8iLSm6XremxhXdd1oZ6sQqEQQ2soKRiyerT3gTsdApLledcBq2nUOherdZscpwBinku0p8gpYLk9OgUsr4AkWq/LcUHr8Tve/DptHuWcLBvRkCU6fBOE6CRiWp9EerIA4NSpUxG3pKlSqfiWSafTnPRObRiyetS8whAQC1i2sAJ4BiwYBjL3WoYK3172CCBBe4osj35BKEggChKwggSkXtsFADsfAa3RdR3ValWo7L59+wLVLfJBE/dQDyVLKpVCPp/3LaeqagytETvPgQMHYmgJJQlDVo/u3inZhgy9AhbWnrfKW16zBSxrbQCAt36NyAJIPwJWWO0TDWrvHAOtEe0BSKfTgedjiax4LRrwaP0aHx/3LdNoNCIPWpqm+Q5LSpIkFAppfWHICkH7kCHaP/ix+ugXsGy9XYa1LNBZNuwA4lVPPwNWWO3bPAps2QNqqtfrmJ+fFyrbzV/nIldX1ev12HohBgWHSINJp9NCw4blcjnSexmWy2XfMoVCgfcrpA4MWSF49MH71jbsw3/2gGWdjO7S2+UcsNB5TFgBxOt40aAWVcAKq32jn7R/Ide1UqkkNPG827/ORa+wivrDMU4i71l0xXBaMzEx4VtG13XhPxqC0jQNi4uLnmXS6TTGxthTTp0YskKw554dzQnqrgHLQCtgtQgErLby1qpDDiBxDTlG1TMmUs+dyfoFqKpqZOFDVVXhobqJiYmu/joXnbSs6zpmZ2cD1x+EpmlCk5Z7JfJ14rIVwaXTaaFhw7m5udC/vvV6HTMzM77lDh48GOp5aXgwZIXkMx997+ozh4Bjbre4BSzDpby16ggCiF89YQS1fk6ef+fHgXdsRZKoqorHH3889OG0Wq2GUqkkVFaW5a7nmIhOWgaa71W0TUHouo5SqYTp6elYwo0sy75z0er1OueidWFsbEzoYoonnngitD9O6vU6pqenfXt8C4VCJFff0nBgyArJox+4D6N3rP6C9byC0Ctgwfn4tRfCDyCiASmMQOTZDoevTWufU32GeL27P4skajQaKJVKoYUtVVVx9OhR4fLFYrGn84n0PphUVcX09HQow2n1eh3lchlHjx6Nfc6XyIdtVMNaw65YLPqG2EajEcrPUb1eR6lU8g3nsiwH+jmn9YchK0RTEw/5BCy0hwihgOUQtKzlegogovWZ5Q2XegSCkGEr3xGw4NAeA2tfBpf9XkHNMJrDhAlfG8vskfnc5z6Hcrkc+ANE13U88cQTgXqLisViz+v9iA7zmDRNw9GjR7t6j+bxpVIJn//85zE3N9eXuV4iS11omoa5ubkYWjNcZFkWCv61Wg1f/vKXu14iRNM0TE9P+/Y4SpKEYrHIye7kaVO/GzBMcg/ciUc/eD9O/uTF5o5eA5bTkKF1v2uwaRV0DzL2/V71mNs9He/WDof36hjmHPY71mPZ3rQNuG8Sw6LRaGBubg5zc3OQZRmZTAaKomD37t1tV/PV63XUajXUajWoqhp4qCyfz4d2KfrY2Bg0TRP+wKvX6633mM1moSgKZFl2HIrTNA26rkPTNFSr1YGYQJ/JZJDL5XzngJXLZdRqNXz6058WWu6CmrLZLIrFou8fDGaPViaTwfj4uNBFCZVKRXi+oiRJmJyc5MKj5IshK2Rf+MQHcOb181h89fzqHoGAZZ+v1bHP+rJPEBIKILb9IvW2lbHXGyAgdZwr4PGe78/2+K5/CWxK1lwsUWaIWlhYCLXefD7f8zCh3eHDh/HEE08EDnvVajWR85eKxSI0TfMNfZVKBZVKBfl8HtlstiMskzPzDwCRntnFxUVMT0+3VmJ3CkXmGliit3liwKIgGLJCtvW2W3D80EdxaOY7WHxtdcjDIcyIBSxb0OopYLns96rH/tjRBqf31mXACnt4c/STQPrDSCpFUWJfET2KgAU0J8EfOXIEMzMz62KV91QqhcnJSUxPTwv1rqmq2jZ3LJ1OI5vN8oo1D/l8HpIkoVQqCX2NzfsO9hrazSFLBiwSxTlZEdh62y04fvgADj78nmABy4BD2LBxnM/kFEBiDFiGQzuc2hdXwLrvnwH3J3uYcHx8HFNTU8LrTfXq4MGDkQQskxk84r55rrnO17Fjx2I9ryzLmJyc7KpnStd1vPrqqxG0arhks1lMTU3FFngKhUKs56PhwJ6siGy97Vb80098EI+8bzee/HYVp88swYxYzQdbb5U1RNhDRZseA0iQQBOk3kGo5/YHAfmzzcchYH5QLy4uolwuR9ILpCgKJiYmYvvgmJiYQC6Xwze+8Y1IF+bM5XLIZrPI5XJ9m5gsyzK+9KUv4emnn153K9vHJZ1OY2pqCqqqYnZ2NpJ5eXH/G6HhwpAVsdwDd+H44Y/h3Pkr+L8/P4ufvrCElfp1nHlNx0rjzWahMAJW2EEmquAW5vHb964+Pgjc8WFgS7D76yVFJpPB5OQkarUa5ufnQ5nkrShKqBPcg8hkMjh27BhUVe36SkK7dDoNRVGgKErXwSqK+VCpVArFYhHj4+Mol8sDM0F/2OTz+dYFB/Pz86Gsi5bP57Fv377A9+0kstpgGG4zrGngXP5vwOW/jidg7f5zQHpftO9nnZqenvbtlTpy5IjnL/dqtdq6ak/0A0WW5VYPzyD9VW69ClKkt05RFEiS1JrILMuyUEB67LHHPF/3+5qHoV7rvpUAAArWSURBVNFotL5nmqZheXnZMWQqioLJSbEhb5FJ27Isx9KjNyhtMedfaZqGs2fPCgV5RVFa90pUFCXyNg7K1wqA722DADBsdok9WUkT55AcDaxsNtu28KX5S7JWq7V6StLpNEZGRpBKpQYqVNnJstxxfzr7L/1ef8GLfIjEIZVKtb53Yd3rbpC+t4PSlnQ6jf3792P//v2tfW4/A+l0ui9XdQ7K1wpggIoSQ1bixBWwGLSSxPwlOSy/LIflfdDg4M8U9QNDVqLEMCfLLPebrwEbpLXybfU4tKdtG871wna8Wd+7/W/AShQ1rtxNRGFjyEqSOIcKGy/0Xk+gdhH11yAN3xDRcGDISprQgpa1VynMoGart3WctZfLtp+IiGgIMWQlThgByeV4h4VTXQOSYz1dBCxmLIrB8vKy5+vsxSKiKDBkJUoYAckevoIe79YOh+E/x1XgHfYTRczvEn7epJmIosCQlSQdvUGr/wsrYAUJSB3ncnhkwKIBwZ4sIuoHhqykcQ1YHkEmyLCi6/GW/V7Hd7t6O1GE/HqyRkZGYmoJEa0nDFmJ4hdo4BKQBANWL7fH2ZYD3vlHwI6/39z35hKg/2/gta/7H08UMb+V5NmTRURRYMhKmkG4D6G9fPofAH/nX7S3c/MocM+fNMPXLw/710MUkWq16luGC1USURQ29rsBFEBbb9XqjrgDlmErf+vdwK7Pubd5217g3j9hwKK+qVQqnq8rihJTS4hovWHISpp+Byx7fXf+EfCOrd5tvnuisx7z+FtHxd43URfq9bpvT1Yul4upNUS03jBkJcnGLc1Ho48By96Tldrj3+53bGv2aDm16zaGLIrOiRMnWjfMdmO90TYRUZg4JytJbr2v+x6nsAJW10N9LvX49YIRdUlVVd+hwnw+j3Q6HVOLiGi9YU9WkqTe23wU7cmKOmAZBlBf9G/3WyvApdPO9Wz/gOCbJxKnqipKpZJvufHx8RhaQ0TrFUNW0mzbv/okpJ4sz3oM//rOzfq3eenpznrN49MfFnjTROLK5bJwwGIvFhFFicOFSbPjD4BLz6xuWMKKY0Ayi3UbsOAQsIzWJgwDuH4OeOkrwP1fdG7v1UXg1f/o3K47x5pLPRCFQNM0zM7Oolar+ZZVFAVjY2MxtIqI1jOGrKTZfB+w8w+AC9/qImDZAhJs5TsClr0eh+MNA1g+Cbz5OnD3QWDnI839by4Bb8wBrz7pXO+mbcDuz/b0pSACmuFqbm7Od8FRkyzLOHz4cMStIiJiyEqm9D8Crv4MePOl3gJSVwHLXs/q9uXTzf/c6rE/3j/JXizqmqZpqFQqqFarvrfMsZJlGUeOHEEqlYqwdURETQxZSbRxC7D7z4Gzfwpce7G3gGQt3/PaWS7tsD9mvtwcKiQSoGkadF3H2bNnUavVsLgocLGFg3w+j4MHDzJgEVFsGLKSygxar08DK2qAgISIApbA46ZtzR4sBixyYfZQ1Wo16LoeqJfKjSRJKBaLXA+LiGLHkJVkG7cAu74EnP8m8Nv/1FwqAQg/IIURsG7/QDNgbeE94shdo9HAwsJCaPUVCgWMj4+z94qI+oIhaxjc8YfA7R8Fzh0HLvxNc19YAanXoLZ5tDnBnb1XJCCM+whKkoR8Po9CocAlGoiorxiyhsU7tgD3HgHu/ONm0Fr+78DbK9H3ZLnVc/uDwOinuA6Wg0KhAEmSfFcjX49SqRRkWRZahsFOlmUUCgXkcjn2XBHRQGDIGja33NUMWnf+MXD5FHDpB83/nAIXEG7Auv1BYOeHm8GKVw66ymazyGazaDQaUFUVp06d6ipUDCtFUYS+HpIkQVEUKIqCbDbLXisiGjgbDCPwTegoiRovAlcqwEoVaCwCb55DT0HrHdsAaQ+w/cFmuNq+N653MpR0XW8FLl3XceTIEWQy63P+WrVaxczMTNu+dDqNkZERyLKMkZERZDIZyLLcpxYSEYlhyFqv3r4KNM40Fw29vtQMTyunW7nLcikikMoAm7auBavNo+ypilCtVoMkSeu2Z6bRaKBWq7WGDomIkoohi4iIiCgCvEE0ERERUQQYsoiIiIgiwKsL14PVEeG4x4U3AMCGDTGflYiIaDAwZCWdYYiFp5iD1gbBczGIERHRsGLISgqvMCUQtOK+vsHAaoDysAGAsWGDZakI2+sMX0RElGAMWQPKNRS5BCq38l7hKszg5RSImktqGa6vu9bVPKCjfez1IiKiJOESDoPCKTwJBiqnb6HoPq/9IrzCk9Nr9n0d282dvvv8zk1ERNRvDFn9JBisvEKVX+Bq2/YZcgTE52z59Sp5hSnfoGUt63Aex30MXERENGAYsvqg40vuE6xEQ1brub0+27ZX3d3oOkAFfd7c4brtto+IiKgfGLJi5BuuBMKQb6iyPHc6xqu+bomErCCBKmj4ctxu7hR9C0RERKFjyIpDD0OA9jDkF7IMw3Cs2+18YYasIAGr29c8nzd3OLaBiIgobgxZUfPprXLqebI+FwlcbmX9tu3HOG27Ee2Bsu9z27YGpCBBzP5cZJuIiCgODFkRE52IHiRM2feJhqsgocz+utuVgm4BSDRc2bf9Hv32AezRIiKiwcB1sqLkMAerbdPxEPf1sexl/AKVSNjy2ufGDEWGYbTCy8aNGzvOZy1nHmc9lzX4tOoyjNYaWRscHu1fq9a+1eOA1YVQLdtERET9wJAVoY55WG7lBCamWye2u9XhtQ6WSMC6efOmaxkzMNlDkxl0bt68iY0b3e837hSsrK9tsAYk11rc+R7H0EVERDFjyIqQ/f59bvfzswYX+z77I1xuQ2PvJXJ7zd4rZN1n743yGyK0vm4PWE7zotyG7DqG+rrQcZz9XAxYREQUM4asKNkDkW3bKXQ5BS57eaegZB5rblt7nZyG7qznM928eVN47pLbfCy314TnXAnMyXI6JzyCGuMVERH1Aye+R81+NSGCTX63Pu+YsG64L90gcjVht1cYii6tEORqQ5GlHLiMAxERJQlDVkz8goxowHLc5xDUgoSpXn4E/JZS8NsnEq5cyzU31vb7bBMREcWJIStO9l4tn16uboKXSFm/Y4LwClnWfa7BSHCJBq9zsfeKiIgGEUNWP/gNIfpsB33ezbYoz56s5k7HbZGhv6D1O5UhIiLqF4asPuv48jsEMPu+bgOZ1z77+Tz5BBmvoGTfDlIWcAlWAm0iIiKKG0PWAHH8VgiELrdjgwasID8Kfj1GvlcDuuxzLNN8wXcfERHRIGHIGlRO4cprP9xDkt+3OKyJ70HKuIUkr/DEoUAiIkoShqwk8QhYnq8FKRMSv56m1itugcrneCIiokHHkDUMRMOTeaVhhE3xC08d5RmkiIhoSHHF92GwYYPwqubd3hswiKBBi4iIaBgxZK0nAcIYERER9WajfxEiIiIiCoohi4iIiCgCDFlEREREEWDIIiIiIooAQxYRERFRBBiyiIiIiCLAkEVEREQUAYYsIiIioggwZBERERFFgCGLiIiIKAIMWUREREQRYMgiIiIiigBDFhEREVEEGLKIiIiIIsCQRURERBQBhiwiIiKiCDBkEREREUWAIYuIiIgoAgxZRERERBFgyCIiIiKKAEMWERERUQQYsoiIiIgiwJBFREREFAGGLCIiIqIIMGQRERERRYAhi4iIiCgCDFlEREREEWDIIiIiIooAQxYRERFRBBiyiIiIiCLw/wHFhXehSRmsyQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from IPython.core.display import Image\n",
    "Image('https://www.python.org/static/community_logos/python-logo-master-v3-TM-flattened.png')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Welcome to Academic!\n"
     ]
    }
   ],
   "source": [
    "print(\"Welcome to Academic!\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Install Python and JupyterLab\n",
    "\n",
    "[Install Anaconda](https://www.anaconda.com/distribution/#download-section) which includes Python 3 and JupyterLab.\n",
    "\n",
    "Alternatively, install JupyterLab with `pip3 install jupyterlab`."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Create or upload a Jupyter notebook\n",
    "\n",
    "Run the following commands in your Terminal, substituting `<MY-WEBSITE-FOLDER>` and `<SHORT-POST-TITLE>` with the file path to your Academic website folder and a short title for your blog post (use hyphens instead of spaces), respectively:"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "```bash\n",
    "mkdir -p <MY-WEBSITE-FOLDER>/content/post/<SHORT-POST-TITLE>/\n",
    "cd <MY-WEBSITE-FOLDER>/content/post/<SHORT-POST-TITLE>/\n",
    "jupyter lab index.ipynb\n",
    "```"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The `jupyter` command above will launch the JupyterLab editor, allowing us to add Academic metadata and write the content."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Edit your post metadata\n",
    "\n",
    "The first cell of your Jupter notebook will contain your post metadata ([front matter](https://sourcethemes.com/academic/docs/front-matter/)).\n",
    "\n",
    "In Jupter, choose _Markdown_ as the type of the first cell and wrap your Academic metadata in three dashes, indicating that it is YAML front matter: \n",
    "\n",
    "```\n",
    "---\n",
    "title: My post's title\n",
    "date: 2019-09-01\n",
    "\n",
    "# Put any other Academic metadata here...\n",
    "---\n",
    "```\n",
    "\n",
    "Edit the metadata of your post, using the [documentation](https://sourcethemes.com/academic/docs/managing-content) as a guide to the available options.\n",
    "\n",
    "To set a [featured image](https://sourcethemes.com/academic/docs/managing-content/#featured-image), place an image named `featured` into your post's folder.\n",
    "\n",
    "For other tips, such as using math, see the guide on [writing content with Academic](https://sourcethemes.com/academic/docs/writing-markdown-latex/). "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Convert notebook to Markdown"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "```bash\n",
    "jupyter nbconvert index.ipynb --to markdown --NbConvertApp.output_files_dir=.\n",
    "```"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Example\n",
    "\n",
    "This post was created with Jupyter. The orginal files can be found at https://github.com/gcushen/hugo-academic/tree/master/exampleSite/content/post/jupyter"
   ]
  }
 ],
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