update examples

utils/examples.json

@@ -4,6 +4,16 @@
         "value": "def print_hello_world():\n    \"\"\"Print 'Hello World!'.\"\"\"",
         "length": 8
     },
+    {
+        "name": "Is_in_list",
+        "value": "def is_in_list(L, e):\n    \"\"\"Find if list L contains the element e.\"\"\"",
+        "length": 36
+    },
+    {
+        "name": "Scikit-Learn",
+        "value": "import numpy as np\nfrom sklearn.ensemble import RandomForestClassifier\n\n# create training data\nX = np.random.randn(100, 100)\ny = np.random.randint(0, 1, 100)\n\n# setup train test split",
+        "length": 96
+    },
     {
         "name": "Filesize",
         "value": "def get_file_size(filepath):",
@@ -20,11 +30,6 @@
         "length": 64
 
     },
-    {
-        "name": "Scikit-Learn",
-        "value": "import numpy as np\nfrom sklearn.ensemble import RandomForestClassifier\n\n# create training data\nX = np.random.randn(100, 100)\ny = np.random.randint(0, 1, 100)\n\n# setup train test split",
-        "length": 96
-    },
     {
         "name": "Pandas",
         "value": "# load dataframe from csv\ndf = pd.read_csv(filename)\n\n# columns: \"age_group\", \"income\"\n# calculate average income per age group",