minor

01 - Scientific modules and IPython.ipynb

@@ -233,7 +233,7 @@
      "data": {
       "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXcAAAEACAYAAABI5zaHAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n",
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x105e8a890>"
+       "<matplotlib.figure.Figure at 0x10604f850>"
       ]
      },
      "metadata": {},
@@ -273,7 +273,7 @@
        "        "
       ],
       "text/plain": [
-       "<IPython.lib.display.YouTubeVideo at 0x10616b050>"
+       "<IPython.lib.display.YouTubeVideo at 0x106165090>"
       ]
      },
      "execution_count": 4,
@@ -435,7 +435,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "/Users/koldunov/PYTHON/python_for_geosciences\r\n"
+      "/Users/koldunov/PYTHON/test/python_for_geosciences\r\n"
      ]
     }
    ],
@@ -452,7 +452,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 8,
    "metadata": {
     "collapsed": false
    },
@@ -490,7 +490,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 9,
    "metadata": {
     "collapsed": false
    },
@@ -517,7 +517,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 10,
    "metadata": {
     "collapsed": false
    },
@@ -528,7 +528,7 @@
        "['cdo nmon: Processed 1 variable over 1464 timesteps ( 0.01s )', '13']"
       ]
      },
-     "execution_count": 8,
+     "execution_count": 10,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -547,7 +547,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 11,
    "metadata": {
     "collapsed": false
    },
@@ -589,7 +589,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 12,
    "metadata": {
     "collapsed": false
    },
@@ -600,7 +600,7 @@
        "[0, 1, 2, 3, 4, 5, 6, 7, 8, 9]"
       ]
      },
-     "execution_count": 10,
+     "execution_count": 12,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -618,7 +618,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 13,
    "metadata": {
     "collapsed": false
    },
@@ -627,8 +627,8 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "The slowest run took 6.86 times longer than the fastest. This could mean that an intermediate result is being cached \n",
-      "1000000 loops, best of 3: 278 ns per loop\n"
+      "The slowest run took 8.60 times longer than the fastest. This could mean that an intermediate result is being cached \n",
+      "1000000 loops, best of 3: 249 ns per loop\n"
      ]
     }
    ],
@@ -645,7 +645,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 14,
    "metadata": {
     "collapsed": false
    },
@@ -683,7 +683,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 15,
    "metadata": {
     "collapsed": false
    },
@@ -692,7 +692,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "1000000 loops, best of 3: 990 ns per loop\n"
+      "1000000 loops, best of 3: 940 ns per loop\n"
      ]
     }
    ],
@@ -711,7 +711,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 16,
    "metadata": {
     "collapsed": false
    },
@@ -732,7 +732,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": 17,
    "metadata": {
     "collapsed": false
    },
@@ -761,7 +761,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": 18,
    "metadata": {
     "collapsed": false
    },
@@ -770,7 +770,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Overwriting hello.py\n"
+      "Writing hello.py\n"
      ]
     }
    ],
@@ -791,7 +791,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": 19,
    "metadata": {
     "collapsed": false
    },
@@ -817,7 +817,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
+   "execution_count": 20,
    "metadata": {
     "collapsed": false
    },