UKSA tutorials

MyWork/LambdaFunctionTutorial.ipynb

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+   "source": [
+    "This code has been prouced as a teaching resource for the UKSA space software, data and AI course run by the Space South Central Universities.\n",
+    "\n",
+    "Contributors to this code includes: M. Chandar"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "75e5aa33-5261-4e5d-b894-309031fea1b6",
+   "metadata": {},
+   "source": [
+    "## Learning Outcome"
+   ]
+  },
+  {
+   "cell_type": "markdown",
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+   "metadata": {},
+   "source": [
+    "\n",
+    "<div class=\"alert alert-block alert-info\"> <b> NOTE </b>\n",
+    "This notebook aims to explain what the lambda function is in Python through examples. \n",
+    "</div>\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "dbc81d61-fa78-49ae-a014-8b3fe5a507c8",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# A lambda function is known as an anonymous function as it is not bound to an identifier,\n",
+    "# A regular function (defined with def) can be reused many times. A lambda function are single-use functions that can be inlined. \n",
+    "# Since you only use them once, \n",
+    "# they don't need an identifier\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "0e86f85e-40cc-4acd-8d4f-ef62ff661eaf",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "10\n"
+     ]
+    }
+   ],
+   "source": [
+    "# If we wanted to write a reusable function to double a number:\n",
+    "\n",
+    "def doubleNum(num):\n",
+    "    return 2 * num\n",
+    "\n",
+    "# As a single use lambda expression\n",
+    "\n",
+    "# This is known as an antipattern as lambda functions are not supposed to be assigned to an identifier - it defeats the point of an anonymous function!\n",
+    "doubleNum = lambda num : 2 * num # This takes the identifier doubleNum from the namespace which is also bad practice with lambda functions.\n",
+    "\n",
+    "\n",
+    "print(doubleNum(5))\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "6b5cb119-7d2d-41ee-8c95-0ab6f29d74de",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "With a function: [['Daniel', 12], ['Beth', 15], ['Aaron', 56], ['Carrie', 80]]\n",
+      "With a lambda function [['Daniel', 12], ['Beth', 15], ['Aaron', 56], ['Carrie', 80]]\n"
+     ]
+    }
+   ],
+   "source": [
+    "# You can create custom sorts\n",
+    "# With a selection sort function\n",
+    "def sortByGrade(studentGradeList):\n",
+    "   for i in range(len(studentGradeList)):\n",
+    "       smallestGradeStudent = i\n",
+    "       for j in range(i,len(studentGradeList)):\n",
+    "           if studentGradeList[j][1] < studentGradeList[smallestGradeStudent][1]:\n",
+    "               smallestGradeStudent = j\n",
+    "       studentGradeList[smallestGradeStudent], studentGradeList[i] = studentGradeList[i], studentGradeList[smallestGradeStudent]\n",
+    "               \n",
+    "   return studentGradeList \n",
+    "        \n",
+    "studentGradeList = [[\"Aaron\",56],[\"Beth\",15],[\"Carrie\",80], [\"Daniel\",12]]\n",
+    "\n",
+    "print(f\"With a function: {sortByGrade(studentGradeList)}\")\n",
+    "print(f\"With a lambda function {sorted(studentGradeList, key=lambda grade: grade[1])}\")\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "af3b3085-6de4-4d6a-a28d-24c60e9158fe",
+   "metadata": {},
+   "source": [
+    "As we can see, using the lamda function to make this custom sort was much easier, quicker, and it will be more efficient. "
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
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