Completed states.py

Author: ushills

days/07-09-data-structures/code/Byte89.ipynb

@@ -28,7 +28,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -47,14 +47,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 25,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "30.4 µs ± 563 ns per loop (mean ± std. dev. of 7 runs, 10000 loops each)\n",
+      "20 µs ± 709 ns per loop (mean ± std. dev. of 7 runs, 100000 loops each)\n",
       "['Oregon', 'Massachusetts', 'Nebraska', 'Missouri', 'Alaska', 'Hawaii', 'Maryland', 'Vermont', 'South Dakota', 'Delaware']\n"
      ]
     }
@@ -77,14 +77,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 26,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "295 ns ± 17.2 ns per loop (mean ± std. dev. of 7 runs, 1000000 loops each)\n",
+      "149 ns ± 3.23 ns per loop (mean ± std. dev. of 7 runs, 10000000 loops each)\n",
       "WI\n"
      ]
     }
@@ -101,6 +101,13 @@
     "print(get_state_abbrev('Wisconsin'))"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
   {
    "cell_type": "code",
    "execution_count": null,
@@ -114,6 +121,18 @@
    "display_name": "Python 3",
    "language": "python",
    "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.6.5"
   }
  },
  "nbformat": 4,

days/07-09-data-structures/code/states.py

@@ -53,17 +53,15 @@ def get_state_abbrev(abbrev):
 
 
 def get_longest_state(data):
-    """Takes dict or list and determines the longest state name
-       (takeaways: use a dict method to get all keys, use sorted)"""
-    pass
+    return max(data, key=len)
 
 
 def combine_state_names_and_abbreviations():
     """Return a new list with the first 10 abbreviations from the
        us_state_abbrev dict ordered values and the last 10 states from
        the states list (takeaways: use another dict method to get all
        values and use sorted, list slicing and list concatenation)"""
-    pass
+    return sorted(us_state_abbrev.values())[:10] + sorted(states)[-10:]
 
 
 if __name__ == '__main__':