sets

python/scipy-numpy-cheat-sheet.ipynb

@@ -31,12 +31,12 @@
    "metadata": {},
    "source": [
     "### Tuple\n",
-    "A tutple is an immutable collection of immutable items that can be of different types: int, float, bool, string. A tuple provides few operators such as count() and index()"
+    "A tutple is an immutable collection of mutable or immutable items that can be of different types: int, float, bool, string. A tuple provides few operators such as count() and index()"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [
     {
@@ -56,6 +56,80 @@
     "print(\"Number of occurrences: {0:d}\\nIndex of 1st occurrence: {1:d}\\n\".format(c, i))"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Set\n",
+    "A set in Python is a mutable unordered collection of unique values. Several operation can be performed on sets, for instance union and intersection"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "s1 = {1, 2, 3, 'a', 'b'}\n",
+    "s2 = {'Rome', 'Paris', 1, 3}"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Union of two sets"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "{1, 2, 3, 'Paris', 'Rome', 'a', 'b'}"
+      ]
+     },
+     "execution_count": 13,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "s3 = s1 | s2\n",
+    "s3"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Intersection of two sets"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "{1, 3}"
+      ]
+     },
+     "execution_count": 11,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "s4 = s1 & s2\n",
+    "s4"
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {},