gistfile1.txt

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     "cell_type": "code",
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     "input": [
      "import sys\n",
      "import IPython"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 1
    },
    {
     "cell_type": "code",
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     "input": [
      "sys.version"
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     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 2,
       "text": [
        "'3.3.5 |Anaconda 2.1.0 (x86_64)| (default, Sep  2 2014, 13:57:31) \\n[GCC 4.2.1 (Apple Inc. build 5577)]'"
       ]
      }
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     "cell_type": "code",
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     "input": [
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     "language": "python",
     "metadata": {},
     "outputs": [
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       "text": [
        "'2.2.0'"
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    {
     "cell_type": "code",
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     "input": [
      "import spacy.en"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 4
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "nlp = spacy.en.English()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "ename": "TypeError",
       "evalue": "expected bytes, str found",
       "output_type": "pyerr",
       "traceback": [
        "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m\n\u001b[0;31mTypeError\u001b[0m                                 Traceback (most recent call last)",
        "\u001b[0;32m<ipython-input-5-c68587acddc5>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mnlp\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mspacy\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0men\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mEnglish\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
        "\u001b[0;32m/Users/chrisralbon/anaconda/envs/py3k/lib/python3.3/site-packages/spacy/en/__init__.py\u001b[0m in \u001b[0;36m__init__\u001b[0;34m(self, data_dir)\u001b[0m\n\u001b[1;32m     65\u001b[0m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_data_dir\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mdata_dir\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     66\u001b[0m         self.vocab = Vocab(data_dir=path.join(data_dir, 'vocab') if data_dir else None,\n\u001b[0;32m---> 67\u001b[0;31m                            get_lex_props=get_lex_props)\n\u001b[0m\u001b[1;32m     68\u001b[0m         \u001b[0mtag_names\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mlist\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mPOS_TAGS\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mkeys\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     69\u001b[0m         \u001b[0mtag_names\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msort\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
        "\u001b[0;32m/Users/chrisralbon/anaconda/envs/py3k/lib/python3.3/site-packages/spacy/vocab.so\u001b[0m in \u001b[0;36mspacy.vocab.Vocab.__init__ (spacy/vocab.cpp:2550)\u001b[0;34m()\u001b[0m\n",
        "\u001b[0;32m/Users/chrisralbon/anaconda/envs/py3k/lib/python3.3/site-packages/spacy/vocab.so\u001b[0m in \u001b[0;36mspacy.vocab.Vocab.load_rep_vectors (spacy/vocab.cpp:4111)\u001b[0;34m()\u001b[0m\n",
        "\u001b[0;32m/Users/chrisralbon/anaconda/envs/py3k/lib/python3.3/site-packages/spacy/vocab.so\u001b[0m in \u001b[0;36mspacy.vocab._CFile.__init__ (spacy/vocab.cpp:5264)\u001b[0;34m()\u001b[0m\n",
        "\u001b[0;31mTypeError\u001b[0m: expected bytes, str found"
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