Merge pull request #1 from Chun-YuanChen/assignment-1

UofT-DSI | python - Assignment 1

Author: Chun-YuanChen

02_activities/assignments/assignment_1.ipynb

@@ -54,34 +54,85 @@
     "```"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Module: Python\n",
+    "### Assignment: 1 \n",
+    "### Name: Chun-Yuan Chen"
+   ]
+  },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 1,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "True"
+      ]
+     },
+     "execution_count": 1,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "# For testing purposes, we will write our code in the function\n",
     "def anagram_checker(word_a, word_b):\n",
     "  # Your code here\n",
+    "  \n",
+    "  word_a = word_a.replace(\" \", \"\") # CYC: I added this just to remove spaces from words/phrases, even if it is not necessary in this case.\n",
+    "  word_b = word_b.replace(\" \", \"\") # CYC: I added this just to remove spaces from words/phrases, even if it is not necessary in this case.\n",
+    "\n",
+    "  word_a = word_a.upper()\n",
+    "  word_b = word_b.upper()\n",
+    "  \n",
+    "  return sorted(word_a) == sorted(word_b)\n",
+    "\n",
     "\n",
     "# Run your code to check using the words below:\n",
     "anagram_checker(\"Silent\", \"listen\")"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 2,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "False"
+      ]
+     },
+     "execution_count": 2,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "anagram_checker(\"Silent\", \"Night\")"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 3,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "True"
+      ]
+     },
+     "execution_count": 3,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "anagram_checker(\"night\", \"Thing\")"
    ]
@@ -99,20 +150,56 @@
    "cell_type": "code",
    "execution_count": null,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "True"
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "def anagram_checker(word_a, word_b, is_case_sensitive):\n",
     "  # Modify your existing code here\n",
+    "  \n",
+    "  word_a = word_a.replace(\" \", \"\")\n",
+    "  word_b = word_b.replace(\" \", \"\")\n",
+    "  \n",
+    "  if is_case_sensitive == True:\n",
+    "    word_a = word_a # CYC: This line might be a bit redundant in some applications, but I keep it in to make each step clearer for myself.\n",
+    "    word_b = word_b # CYC: This line might be a bit redundant in some applications, but I keep it in to make each step clearer for myself.\n",
+    "  \n",
+    "  else:\n",
+    "    word_a = word_a.upper()\n",
+    "    word_b = word_b.upper()\n",
+    "\n",
+    "  return sorted(word_a) == sorted(word_b)\n",
+    "\n",
     "\n",
     "# Run your code to check using the words below:\n",
     "anagram_checker(\"Silent\", \"listen\", False) # True"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 5,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "False"
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "anagram_checker(\"Silent\", \"Listen\", True) # False"
    ]
@@ -130,7 +217,7 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "new-learner",
+   "display_name": "dsi_participant",
    "language": "python",
    "name": "python3"
   },
@@ -144,7 +231,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.8"
+   "version": "3.9.19"
   }
  },
  "nbformat": 4,