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   "source": [
    "\n",
    "# Pandas Tutorial\n",
    "\n",
    "\n",
    "Jeff Reback\n",
    "\n",
    "@jreback\n",
    "\n",
    "November 11, 2015\n",
    "\n",
    "PyData NYC 2015\n",
    "\n",
    "http://tiny.cc/pandaspydata\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "Installation documentation\n",
    "\n",
    "http://pandas.pydata.org/pandas-docs/stable/install.html"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "source": [
    "Pandas Main Documentation\n",
    "\n",
    "http://pandas.pydata.org/pandas-docs/stable/index.html"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "source": [
    "Tutorials\n",
    "\n",
    "http://pandas.pydata.org/pandas-docs/stable/tutorials.html"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "source": [
    "Parts of this tutorial taken from\n",
    "\n",
    "https://github.com/TomAugspurger/PyDataSeattle"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "# Installation\n",
    "\n",
    "Let's make sure that we have some dependencies installed"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false,
    "slideshow": {
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   "outputs": [
    {
     "data": {
      "text/plain": [
       "'3.4.3 |Continuum Analytics, Inc.| (default, Oct 20 2015, 14:27:51) \\n[GCC 4.2.1 (Apple Inc. build 5577)]'"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import sys\n",
    "sys.version"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": false,
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'0.17.0'"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import statsmodels\n",
    "import sklearn\n",
    "import seaborn\n",
    "import xlsxwriter\n",
    "import sqlalchemy\n",
    "%matplotlib inline\n",
    "\n",
    "pd.options.display.max_rows = 12\n",
    "pd.options.display.max_columns = 10\n",
    "pd.__version__"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "source": [
    "A nice way to install everything\n",
    "\n",
    "```\n",
    "conda install --file requirements.txt\n",
    "```"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# Overview"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "fragment"
    }
   },
   "source": [
    "1. Data IO\n",
    "2. Examining Data\n",
    "3. Groupby\n",
    "4. Tidy Data\n",
    "5. Timeseries\n",
    "6. Compute"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# Thanks"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Contribute to pandas!\n",
    "\n",
    "https://github.com/pydata/pandas/issues"
   ]
  }
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