scikit learn

README.md

@@ -150,3 +150,5 @@ GitHub repository [One-Python-benchmark-per-day](https://github.com/rasbt/One-Py
 - [Cython](http://cython.org) - C-extensions for Python, an optimizing static compiler to combine Python and C code
 
 - [Numba](http://numba.pydata.org) - an just-in-time specializing compiler which compiles annotated Python and NumPy code to LLVM (through decorators)
+
+- [scikit-learn](http://scikit-learn.org/stable/) - a powerful machine learning library for Python and tools for efficient data mining and analysis

tutorials/awesome_things_ipynb.ipynb

@@ -299,7 +299,6 @@
      "cell_type": "code",
      "collapsed": false,
      "input": [
-      "%debug \n",
       "def some_func():\n",
       "    var = 'hello world'\n",
       "    for i in range(5):\n",
@@ -309,6 +308,18 @@
      ],
      "language": "python",
      "metadata": {},
+     "outputs": [],
+     "prompt_number": 1
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "%debug\n",
+      "some_func()"
+     ],
+     "language": "python",
+     "metadata": {},
      "outputs": [
       {
        "output_type": "stream",
@@ -320,21 +331,6 @@
         "\u001b[0m\u001b[0;32m      6 \u001b[0;31m    \u001b[0;32mreturn\u001b[0m \u001b[0;34m'finished'\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
         "\u001b[0m\n"
        ]
-      },
-      {
-       "name": "stdout",
-       "output_type": "stream",
-       "stream": "stdout",
-       "text": [
-        "ipdb> var\n"
-       ]
-      },
-      {
-       "output_type": "stream",
-       "stream": "stdout",
-       "text": [
-        "'hello world'\n"
-       ]
       }
      ]
     },
@@ -858,6 +854,91 @@
      ],
      "prompt_number": 55
     },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "def hello_world():\n",
+      "    \"\"\"This is a hello world example function.\"\"\"\n",
+      "    print('Hello, World!')"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [],
+     "prompt_number": 7
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "%pdoc hello_world"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [],
+     "prompt_number": 9
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "%pdef hello_world"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "output_type": "stream",
+       "stream": "stdout",
+       "text": [
+        " \u001b[0mhello_world\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+        " "
+       ]
+      }
+     ],
+     "prompt_number": 10
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "%psource math.mean()"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "output_type": "stream",
+       "stream": "stdout",
+       "text": [
+        "Object `math.mean()` not found.\n"
+       ]
+      }
+     ],
+     "prompt_number": 15
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "from math import sqrt"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "ename": "ImportError",
+       "evalue": "cannot import name 'mean'",
+       "output_type": "pyerr",
+       "traceback": [
+        "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m\n\u001b[0;31mImportError\u001b[0m                               Traceback (most recent call last)",
+        "\u001b[0;32m<ipython-input-16-fdd1a06c836a>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0;32mfrom\u001b[0m \u001b[0mmath\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mmean\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
+        "\u001b[0;31mImportError\u001b[0m: cannot import name 'mean'"
+       ]
+      }
+     ],
+     "prompt_number": 16
+    },
     {
      "cell_type": "code",
      "collapsed": false,

tutorials/hello_world.py

@@ -0,0 +1,3 @@
+def hello_world():
+    """This is a hello world example function."""
+    print('Hello, World!')