diff --git a/02_activities/assignments/assignment_1.ipynb b/02_activities/assignments/assignment_1.ipynb index bee48d5a0..41fc46e25 100644 --- a/02_activities/assignments/assignment_1.ipynb +++ b/02_activities/assignments/assignment_1.ipynb @@ -56,13 +56,38 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 12, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "True" + ] + }, + "execution_count": 12, + "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", + " '''anagram checker, both parameters should be words that you want to check in quotation marks'''\n", + " # make sure the words are treated as strings\n", + " str(word_a)\n", + " str(word_b)\n", + " \n", + " #convert into lowercases\n", + " word_a = word_a.lower()\n", + " word_b = word_b.lower()\n", + "\n", + " #make into sorted string\n", + " sort_word_a = sorted(word_a)\n", + " sort_word_b = sorted(word_b)\n", + "\n", + " #make sure two strings are identical\n", + " return sort_word_a == sort_word_b\n", "\n", "# Run your code to check using the words below:\n", "anagram_checker(\"Silent\", \"listen\")" @@ -70,18 +95,40 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 13, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "False" + ] + }, + "execution_count": 13, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "anagram_checker(\"Silent\", \"Night\")" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 14, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "True" + ] + }, + "execution_count": 14, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "anagram_checker(\"night\", \"Thing\")" ] @@ -97,12 +144,38 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 16, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "True" + ] + }, + "execution_count": 16, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "def anagram_checker(word_a, word_b, is_case_sensitive):\n", - " # Modify your existing code here\n", + " '''anagram checker, both parameters should be words that you want to check in quotation marks'''\n", + " # make sure the words are treated as strings\n", + " str(word_a)\n", + " str(word_b)\n", + " \n", + " #convert into lowercase if is not case sensitive\n", + " if not is_case_sensitive: \n", + " word_a = word_a.lower()\n", + " word_b = word_b.lower()\n", + " \n", + " #make into sorted string\n", + " sort_word_a = sorted(word_a)\n", + " sort_word_b = sorted(word_b)\n", + "\n", + " #make sure two strings are identical\n", + " return sort_word_a == sort_word_b\n", "\n", "# Run your code to check using the words below:\n", "anagram_checker(\"Silent\", \"listen\", False) # True" @@ -110,9 +183,20 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 17, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "False" + ] + }, + "execution_count": 17, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "anagram_checker(\"Silent\", \"Listen\", True) # False" ] @@ -130,7 +214,7 @@ ], "metadata": { "kernelspec": { - "display_name": "new-learner", + "display_name": "python-env", "language": "python", "name": "python3" }, @@ -144,7 +228,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.11.8" + "version": "3.11.13" } }, "nbformat": 4,