diff --git a/02_activities/assignments/assignment_1.ipynb b/02_activities/assignments/assignment_1.ipynb index bee48d5a0..24ee9e134 100644 --- a/02_activities/assignments/assignment_1.ipynb +++ b/02_activities/assignments/assignment_1.ipynb @@ -56,32 +56,70 @@ }, { "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", + " # Remove spaces and convert to lowercase\n", + " str1 = word_a.replace(\" \", \"\").lower() #remove spaces in the string to clean it, will not matter if using a single word string. But this way it will work for phrases too.\n", + " str2 = word_b.replace(\" \", \"\").lower()\n", + " \n", + " # Sort the characters of both strings and compare\n", + " return sorted(str1) == sorted(str2)\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\")" ] @@ -97,12 +135,33 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 4, "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", + " # Remove spaces but don't put into lowercase yet\n", + " str1 = word_a.replace(\" \", \"\")\n", + " str2 = word_b.replace(\" \", \"\")\n", + " \n", + " #lower case only if case_sensitive is False\n", + " if is_case_sensitive == False: \n", + " str1 = str1.lower() \n", + " str2 = str2.lower()\n", + " \n", + " # Sort the characters of both strings and compare\n", + " return sorted(str1) == sorted(str2)\n", "\n", "# Run your code to check using the words below:\n", "anagram_checker(\"Silent\", \"listen\", False) # True" @@ -110,9 +169,20 @@ }, { "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 +200,7 @@ ], "metadata": { "kernelspec": { - "display_name": "new-learner", + "display_name": "jmp_model_env", "language": "python", "name": "python3" }, @@ -144,7 +214,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.11.8" + "version": "3.10.17" } }, "nbformat": 4,