monoctave.ipynb

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     "cell_type": "code",
     "collapsed": false,
     "input": [
      "%load_ext sympyprinting"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "/Users/martinlaloux/anaconda/lib/python2.7/site-packages/IPython/extensions/sympyprinting.py:118: UserWarning: The sympyprinting extension in IPython is deprecated, use 'from sympy import init_printing; init_printing()'\n",
        "  warnings.warn(\"The sympyprinting extension in IPython is deprecated, \"\n",
        "/Users/martinlaloux/anaconda/lib/python2.7/site-packages/sympy/utilities/exceptions.py:149: SymPyDeprecationWarning: \n",
        "\n",
        "using %load_ext sympy.interactive.ipythonprinting has been deprecated\n",
        "since SymPy 0.7.3. Use from sympy import init_printing ;\n",
        "init_printing() instead. See\n",
        "http://code.google.com/p/sympy/issues/detail?id=3914 for more info.\n",
        "\n",
        "  warning(see_above, SymPyDeprecationWarning)\n"
       ]
      }
     ],
     "prompt_number": 1
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "import sympy as sym\n",
      "from sympy import *\n",
      "x, y, z = sym.symbols(\"x y z\")"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 2
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "Rational(3,2)*pi + exp(I*x) / (x**2 + y)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "latex": [
        "$$\\frac{3 \\pi}{2} + \\frac{e^{i x}}{x^{2} + y}$$"
       ],
       "metadata": {},
       "output_type": "pyout",
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       "prompt_number": 3,
       "text": [
        "        \u2148\u22c5x \n",
        "3\u22c5\u03c0    \u212f    \n",
        "\u2500\u2500\u2500 + \u2500\u2500\u2500\u2500\u2500\u2500\n",
        " 2     2    \n",
        "      x  + y"
       ]
      }
     ],
     "prompt_number": 3
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    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "%%ruby\n",
      "puts \"Hello from Ruby #{RUBY_VERSION}\""
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "Hello from Ruby 1.8.7\n"
       ]
      }
     ],
     "prompt_number": 5
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "%%bash\n",
      "echo \"hello from $BASH\""
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "hello from /bin/bash\n"
       ]
      }
     ],
     "prompt_number": 6
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "%load_ext octavemagic"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 1
    },
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     "input": [
      "%%octave -f svg\n",
      "\n",
      "p = [12 -2.5 -8 -0.1 8];\n",
      "x = 0:0.01:1;\n",
      "\n",
      "polyout(p, 'x')\n",
      "plot(x, polyval(p, x));\n"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
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       "text": [
        "12*x^4 - 2.5*x^3 - 8*x^2 - 0.1*x^1 + 8"
       ]
      },
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     "collapsed": false,
     "input": [
      "%load_ext oct2py.ipython"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 3
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     "input": [
      "%%octave -s 500,500\n",
      "\n",
      "# butterworth filter, order 2, cutoff pi/2 radians\n",
      "b = [0.292893218813452  0.585786437626905  0.292893218813452];\n",
      "a = [1  0  0.171572875253810];\n",
      "freqz(b, a, 32);"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
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b9aUYujMq5b2CQ4IgzCaSJA0jzf2SBwwv6wjCgLmCt9N5ND8M/9S27w+CzZ5b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\nxf8P81nXHoZlkSYAAAAASUVORK5CYII=\n"
      }
     ],
     "prompt_number": 6
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "%%octave -s 600,200 -f png\n",
      "\n",
      "subplot(121);\n",
      "[x, y] = meshgrid(0:0.1:3);\n",
      "r = sin(x - 0.5).^2 + cos(y - 0.5).^2;\n",
      "surf(x, y, r);\n",
      "\n",
      "subplot(122);\n",
      "sombrero()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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OCwurxASERqPxOQ5ilWXv4d7J0gphlb1yrcOQWcBeKoKAIasL0Mab+rpjSF34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\nABAaAiEAAAgNgRAAAISGQAgAAEL7F4OsW9ts4b4yAAAAAElFTkSuQmCC\n"
      }
     ],
     "prompt_number": 7
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "%%octave -g\n",
      "plot([1,2,3])"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 8
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "ERROR: Line magic function `%R` not found.\n",
        "ERROR: Line magic function `%R` not found.\n",
        "ERROR: Line magic function `%Rdevice` not found.\n"
       ]
      }
     ],
     "prompt_number": 9
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [],
     "language": "python",
     "metadata": {},
     "outputs": []
    }
   ],
   "metadata": {}
  }
 ]
}