From a517f4bfd432a6baff42e1ae3308cafcd5cca247 Mon Sep 17 00:00:00 2001 From: pca Date: Sun, 19 Oct 2025 16:12:32 -0400 Subject: [PATCH] I completed the assignment --- 02_activities/assignments/assignment_1.ipynb | 103 ++++++++++++++++--- 1 file changed, 89 insertions(+), 14 deletions(-) diff --git a/02_activities/assignments/assignment_1.ipynb b/02_activities/assignments/assignment_1.ipynb index bee48d5a0..cf775de53 100644 --- a/02_activities/assignments/assignment_1.ipynb +++ b/02_activities/assignments/assignment_1.ipynb @@ -56,32 +56,71 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 21, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "True" + ] + }, + "execution_count": 21, + "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", + " word_a = word_a.lower()\n", + " word_b = word_b.lower()\n", "\n", + " if sorted(word_a) == sorted(word_b):\n", + " return True\n", + " else: \n", + " return False\n", + " \n", "# Run your code to check using the words below:\n", "anagram_checker(\"Silent\", \"listen\")" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 22, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "False" + ] + }, + "execution_count": 22, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "anagram_checker(\"Silent\", \"Night\")" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 23, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "True" + ] + }, + "execution_count": 23, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "anagram_checker(\"night\", \"Thing\")" ] @@ -97,12 +136,37 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 27, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "True" + ] + }, + "execution_count": 27, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "def anagram_checker(word_a, word_b, is_case_sensitive):\n", - " # Modify your existing code here\n", + " if not is_case_sensitive:\n", + " word_a = word_a.lower()\n", + " word_b = word_b.lower()\n", + " if sorted(word_a) == sorted(word_b):\n", + " return True\n", + " \n", + " elif is_case_sensitive:\n", + " if sorted(word_a) == sorted(word_b):\n", + " return True\n", + " else: \n", + " return False\n", + " \n", + "\n", + " \n", + "\n", "\n", "# Run your code to check using the words below:\n", "anagram_checker(\"Silent\", \"listen\", False) # True" @@ -110,9 +174,20 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 9, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "False" + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "anagram_checker(\"Silent\", \"Listen\", True) # False" ] @@ -130,7 +205,7 @@ ], "metadata": { "kernelspec": { - "display_name": "new-learner", + "display_name": "python-env", "language": "python", "name": "python3" }, @@ -144,7 +219,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.11.8" + "version": "3.11.13" } }, "nbformat": 4,