emacs-ipython-notebook/Demo.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "autoscroll": "json-false",
    "collapsed": false,
    "ein.tags": [
     "worksheet-0"
    ]
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'3.5.1 |Anaconda 2.4.1 (64-bit)| (default, Jan 29 2016, 15:01:46) [MSC v.1900 64 bit (AMD64)]'"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import sys\n",
    "sys.version"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "autoscroll": "json-false",
    "collapsed": false,
    "ein.tags": [
     "worksheet-0"
    ]
   },
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXMAAAEACAYAAABBDJb9AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nPRs6hpbMk2Env6FotVl
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1ae5dcdd828>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x1ae5e649470>]"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%matplotlib inline\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "def plotnormal():\n",
    "    return plt.plot(np.random.randn(1000), np.random.randn(1000), 'o', alpha=0.3)\n",
    "plotnormal()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "ein.tags": [
     "worksheet-0"
    ]
   },
   "source": [
    "Errors are shown in informative ways:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "autoscroll": "json-false",
    "collapsed": false,
    "ein.tags": [
     "worksheet-0"
    ]
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "ERROR: File `'non_existent_file.py'` not found.\n"
     ]
    }
   ],
   "source": [
    "%run non_existent_file"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "autoscroll": "json-false",
    "collapsed": false,
    "ein.tags": [
     "worksheet-0"
    ]
   },
   "outputs": [
    {
     "ename": "ZeroDivisionError",
     "evalue": "division by zero",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\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: division by zero"
     ]
    }
   ],
   "source": [
    "x = 1\n",
    "y = 4\n",
    "z = y/(1-x)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "autoscroll": "json-false",
    "collapsed": false,
    "ein.tags": [
     "worksheet-0"
    ]
   },
   "outputs": [],
   "source": [
    "ip = get_ipython()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "autoscroll": "json-false",
    "collapsed": false,
    "ein.tags": [
     "worksheet-0"
    ]
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Installed hierarchymagic.py. To use it, type:\n",
      "  %load_ext hierarchymagic\n"
     ]
    }
   ],
   "source": [
    "%install_ext https://raw.github.com/anaderi/ipython-hierarchymagic/master/hierarchymagic.py"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "autoscroll": "json-false",
    "collapsed": false,
    "ein.tags": [
     "worksheet-0"
    ]
   },
   "outputs": [],
   "source": [
    "%load_ext hierarchymagic"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "autoscroll": "json-false",
    "collapsed": false,
    "ein.tags": [
     "worksheet-0"
    ]
   },
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAASAAAAF1CAYAAABIwDfEAAAABmJLR0QA/wD/AP+gvaeTAAAgAElE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\nvXr1iv79738TEdE///l
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%hierarchy get_ipython()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "ein.tags": [
     "worksheet-0"
    ]
   },
   "source": [
    "# Auto-Complete Sadness (Issue #55)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "ein.tags": [
     "worksheet-0"
    ]
   },
   "source": [
    "[Issue #55](https://github.com/millejoh/emacs-ipython-notebook/issues/55).\n",
    "\n",
    "Autocomplete doesn't play nicely with long arrays containing long strings.\n",
    "          "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "autoscroll": "json-false",
    "collapsed": false,
    "ein.tags": [
     "worksheet-0"
    ]
   },
   "outputs": [],
   "source": [
    "longstring = '****************************************************************************************'\n",
    "shortstring = '***'\n",
    "shortarray = [shortstring + str(x) for x in range(12000)]\n",
    "longarray = [longstring + str(x) for x in range(12000)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "autoscroll": "json-false",
    "collapsed": false,
    "ein.tags": [
     "worksheet-0"
    ]
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'***0'"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "shortarray[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "autoscroll": "json-false",
    "collapsed": false,
    "ein.tags": [
     "worksheet-0"
    ]
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'****************************************************************************************3'"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "longarray[3]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "autoscroll": "json-false",
    "collapsed": false,
    "ein.tags": [
     "worksheet-0"
    ]
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'****************************************************************************************3'"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "longarray[3]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "autoscroll": "json-false",
    "collapsed": false,
    "ein.tags": [
     "worksheet-0"
    ]
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "inf"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.Infinity"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 0,
   "metadata": {
    "autoscroll": "json-false",
    "collapsed": false,
    "ein.tags": [
     "worksheet-0"
    ]
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {},
 "nbformat": 4,
 "nbformat_minor": 0
}