Linear_Algebra_with_Pandas.ipynb

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   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "from scipy import linalg"
   ]
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    "A = pd.DataFrame([[1,2],[3,4]])"
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    "A.T"
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   "source": [
    "linalg.inv(A)"
   ]
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   "source": [
    "b = pd.DataFrame([5,6])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
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    "b.T"
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    "A.dot(b)"
   ]
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  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
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   "outputs": [],
   "source": [
    "A = pd.DataFrame([[1,3,5],[2,5,1],[2,3,8]])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
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    "A"
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   "cell_type": "code",
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    "linalg.inv(A)"
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   "cell_type": "code",
   "execution_count": null,
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   "outputs": [],
   "source": [
    "# don't run this!\n",
    "#A = pd.DataFrame.from_csv('/home/james/datafile/RSEM.iso_res', sep='\\t')"
   ]
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   "cell_type": "code",
   "execution_count": null,
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    "collapsed": true
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