Scientific Python Setup.ipynb

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  "name": "Scientific Python Setup"
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     "source": [
      "# [INTRODUCTION TO DATA SCIENCE IN PYTHON](http://www.datagotham.com/tutorials/#yhat)\n",
      "## Tutorial by [Yhat](http://yhathq.com)\n",
      "## [DataGotham 2013](http://www.datagotham.com) New York, NY\n",
      "\n",
      "<b>Wifi Network</b>: foo\n",
      "\n",
      "<b>Wifi Password</b>: bar\n",
      "\n",
      "[View this page](http://nbviewer.ipython.org/6512456)\n",
      "\n",
      "[Download this notebook](https://gist.github.com/6512456)"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "<hr>\n",
      "# Before we begin....\n",
      "\n",
      "If you haven't already, double check that you have the following tools installed on your machines."
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "<style>\n",
      "    table {font-size: 16px; width: 35%;}\n",
      "</style>\n",
      "\n",
      "<table>\n",
      "    <thead>\n",
      "        <tr>\n",
      "            <th>Name</th>\n",
      "            <th>URL</th>\n",
      "        </tr>\n",
      "    </thead>\n",
      "    <tbody>\n",
      "        <tr>\n",
      "            <td>Python 2.7</td>\n",
      "            <td><a href=\"http://www.python.org/download/releases/2.7/\">http://www.python.org/download/releases/2.7/</a></td>\n",
      "        </tr>\n",
      "        <tr>\n",
      "            <td>pip</td>\n",
      "            <td><a href=\"http://www.pip-installer.org/en/latest/installing.html\">http://www.pip-installer.org/en/latest/installing.html</a></td>\n",
      "        </tr>\n",
      "        <tr>\n",
      "            <td>numpy >= 1.6</td>\n",
      "            <td><a href=\"http://sourceforge.net/projects/numpy/files/NumPy/\">http://sourceforge.net/projects/numpy/files/NumPy/</a></td>\n",
      "        </tr>\n",
      "        <tr>\n",
      "            <td>scipy</td>\n",
      "            <td><a href=\"http://sourceforge.net/projects/scipy/files/scipy/\">http://sourceforge.net/projects/scipy/files/scipy/</a></td>\n",
      "        </tr>\n",
      "        <tr>\n",
      "            <td>pandas</td>\n",
      "            <td><a href=\"http://pandas.pydata.org/getpandas.html\">http://pandas.pydata.org/getpandas.html</a></td>\n",
      "        </tr>\n",
      "        <tr>\n",
      "            <td>matplotlib</td>\n",
      "            <td><a href=\"http://matplotlib.org/users/installing.html\">http://matplotlib.org/users/installing.html</a></td>\n",
      "        </tr>\n",
      "        <tr>\n",
      "            <td>yhat</td>\n",
      "            <td><a href=\"https://github.com/yhat/yhat-client\">https://github.com/yhat/yhat-client</a></td>\n",
      "        </tr>\n",
      "    </tbody>\n",
      "</table>"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "<hr>\n",
      "# Installing Python\n",
      "http://www.python.org/download/releases/2.7/"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "osX:\n",
      "\n",
      "- Apple ships macs w/ Python already installed. Though you can use the system installation of Python, it's safer to install your own to keep the system version clean.\n",
      "\n",
      "- to install your own version of Python apart from the one that came installed on your computer, you can run:\n",
      "\n",
      "<pre><code>brew install python</code></pre>\n",
      "\n",
      "if you have homebrew. Alternatively, you can download the Mac Installer disk image for Python 2.7 for OS X 10.3 on the Python website.\n",
      "\n",
      "Windows: \n",
      "\n",
      "- Windows computers do not ship with Python, but it's pretty easy to install via a double-click\n",
      "\n",
      "- There's a link to download the .exe installer on the python website"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "<hr>\n",
      "# Installing pip\n",
      "http://www.pip-installer.org/en/latest/installing.html\n",
      "\n",
      "An excellent tool for installing and managing Python packages. <code>pip</code> relies on another tool called <code>setuptools</code>, so we need to install that first."
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "To check if ```pip``` is installed on your machine, enter this command in your terminal shell:\n",
      "\n",
      "    pip --help\n",
      "\n",
      "If you're on a mac, install pip by entering the following terminal commands.\n",
      "\n",
      "    # downloads setuptools installer script and saves it to a file called ez_setup.py in your current directory\n",
      "    curl --ssl https://bitbucket.org/pypa/setuptools/raw/bootstrap/ez_setup.py >> ez_setup.py\n",
      "\n",
      "```ez_setup.py``` is a python script that will install ```setuptools```. To run it, enter the following command in your terminal.\n",
      "\n",
      "    python ez_setup.py\n",
      "\n",
      "Now that you have setuptools, you can install ```pip```. Grab the ```pip``` installer using ```curl``` like so:\n",
      "\n",
      "    curl --ssl https://raw.github.com/pypa/pip/master/contrib/get-pip.py >> get-pip.py\n",
      "\n",
      "and run it\n",
      "\n",
      "    python get-pip.py\n",
      "\n",
      "To make sure it worked, run this again\n",
      "\n",
      "    pip --help"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "<hr>\n",
      "# Installing numpy \n",
      "http://docs.scipy.org/doc/numpy/user/install.html\n",
      "\n",
      "A fast library for matrix math / n-dimensional arrays."
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "```pip install --upgrade numpy```\n",
      "\n",
      "Windows installer: http://www.lfd.uci.edu/~gohlke/pythonlibs/#numpy"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "<hr>\n",
      "# Installing scipy\n",
      "\n",
      "General scientific library containing routines and functions for optimization, linear algebra, statistics, FFT, clustering, etc."
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "```pip install --upgrade scipy```\n",
      "\n",
      "Windows installer: http://www.lfd.uci.edu/~gohlke/pythonlibs/#scipy"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "<hr>\n",
      "# Installing matplotlib\n",
      "http://matplotlib.org/\n",
      "\n",
      "A python 2D plotting library."
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "```pip install --upgrade matplotlib```\n",
      "\n",
      "Windows installer: <br> http://www.lfd.uci.edu/~gohlke/pythonlibs/#pandas"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "<hr>\n",
      "# Installing pandas\n",
      "http://pandas.pydata.org/pandas-docs/stable/install.html\n",
      "\n",
      "Primary package for handling and operating on data.\n",
      "<br>Provides R-like functionality including <code>DataFrame</code>, <code>reshape</code>, <code>melt</code>, <code>groupby, <code>join</code>, etc)."
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "```pip install --upgrade pip```\n",
      "\n",
      "Windows installer: http://www.lfd.uci.edu/~gohlke/pythonlibs/#pandas"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "<hr>\n",
      "# Installing IPython\n",
      "http://ipython.org/install.html\n",
      "\n",
      "Command line and web IDE designed for use with Python and several other scientific and web-based technologies."
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "```pip install --upgrade ipython```\n",
      "\n",
      "Windows installer: http://www.lfd.uci.edu/~gohlke/pythonlibs/#ipython"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "# Installing scikit-learn\n",
      "http://scikit-learn.org/stable/install.html\n",
      "\n",
      "Simple and efficient tools for analysing and mining data in Python. <br>\n",
      "Includes dozens of algorithms and utilities for classification, regression, dimensionality reduction, clustering, model selection, and preprocessing."
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "```pip install --upgrade scikit-learn```\n",
      "\n",
      "Windows installer: http://www.lfd.uci.edu/~gohlke/pythonlibs/#scikit-learn"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "# Installing yhat\n",
      "https://github.com/yhat/yhat-client\n",
      "\n",
      "Package for deploying your analytical routines as RESTful APIs.\n",
      "\n",
      "    pip install --upgrade yhat"
     ]
    }
   ],
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