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  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
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   "source": [
    "# IPython Notebook Basics"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Project directory"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "* IPython Notebooks are just files (`.ipynb`) on your file system\n",
    "* The Notebook server is aware of Notebooks in a single directory, which we call the **Notebook directory**\n",
    "* If you cd to a Notebook directory and type:\n",
    "\n",
    "        jupyter notebook\n",
    "\n",
    "  you will see the Notebooks in that directory in the dashboard"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "## Notebook files"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Notebook files:\n",
    "\n",
    "* Are just that - files (`.ipynb`) on your file system\n",
    "* Contain JSON data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "import nbformat\n",
    "\n",
    "with open('Notebook Basics.ipynb') as f:\n",
    "    nb = nbformat.v4.reads_json(f.read())    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[{u'cell_type': u'markdown',\n",
       "  u'metadata': {u'slideshow': {u'slide_type': u'slide'}},\n",
       "  u'source': u'# IPython Notebook Basics'},\n",
       " {u'cell_type': u'markdown',\n",
       "  u'metadata': {},\n",
       "  u'source': u'## Project directory'},\n",
       " {u'cell_type': u'markdown',\n",
       "  u'metadata': {},\n",
       "  u'source': u'* IPython Notebooks are just files (`.ipynb`) on your file system\\n* The Notebook server is aware of Notebooks in a single directory, which we call the **Notebook directory**\\n* If you cd to a Notebook directory and type:\\n\\n        jupyter notebook\\n\\n  you will see the Notebooks in that directory in the dashboard'},\n",
       " {u'cell_type': u'markdown',\n",
       "  u'metadata': {u'slideshow': {u'slide_type': u'slide'}},\n",
       "  u'source': u'## Notebook files'},\n",
       " {u'cell_type': u'markdown',\n",
       "  u'metadata': {},\n",
       "  u'source': u'Notebook files:\\n\\n* Are just that - files (`.ipynb`) on your file system\\n* Contain JSON data'}]"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nb.cells[0:5]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "* Embed code, Markdown text, LaTeX equations, images\n",
    "* Are version control friendly: post your Notebooks on GitHub\n",
    "* Can be viewed online by anyone at http://nbviewer.org"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "IPython Notebooks can also be exported to `.py` files (see \"File:Download As\" menu item). You can tell the Notebook server to always save these `.py` files alongside the `.ipynb` files by starting the Notebook as:\n",
    "\n",
    "    ipython notebook --script\n",
    "\n",
    "You can import Notebooks from the main Dashboard or simply by copying a Notebook into the Notebook directory."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "## Overview of the UI"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "* Dashboard\n",
    "* Notebook area and cells\n",
    "* Menu\n",
    "* Toolbar"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "## Cell types"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "* Code\n",
    "* Markdown\n",
    "* Raw text"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "## Keyboard shortcuts"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "* `Shift-Enter` to run a cell\n",
    "* `Ctrl-Enter` to run a cell in place\n",
    "* All other keyboard shortcuts have the form: `Ctrl-m ?`\n",
    "* Show all keyboard shortcuts using `Ctrl-m h`"
   ]
  }
 ],
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