diff --git a/02_activities/assignments/assignment_1.ipynb b/02_activities/assignments/assignment_1.ipynb index 72c8aec96..0f626b581 100644 --- a/02_activities/assignments/assignment_1.ipynb +++ b/02_activities/assignments/assignment_1.ipynb @@ -56,13 +56,35 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 73, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Silent and listen are anagrams!\n" + ] + } + ], "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", + " #Create sets from letters in each word and convert all to lowercase\n", + " word_1 = word_a.lower()\n", + " word_2 = word_b.lower()\n", + " first_word = set()\n", + " second_word = set() \n", + " for letter in word_1:\n", + " first_word.add(letter)\n", + " for letter in word_2:\n", + " second_word.add(letter)\n", + "\n", + "#Compare sets to determine if the words use the same letters. Also ensure words are the same length in case letters are repeated.\n", + " if first_word == second_word and len(word_a) == len(word_b):\n", + " print(f'{word_a} and {word_b} are anagrams!')\n", + " else:\n", + " print(f'{word_a} and {word_b} are not anagrams!')\n", "\n", "# Run your code to check using the words below:\n", "anagram_checker(\"Silent\", \"listen\")" @@ -70,18 +92,34 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 51, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "silent and night are not anagrams!\n" + ] + } + ], "source": [ "anagram_checker(\"Silent\", \"Night\")" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 52, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "night and thing are anagrams!\n" + ] + } + ], "source": [ "anagram_checker(\"night\", \"Thing\")" ] @@ -97,12 +135,38 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 74, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Silent and listen are anagrams!\n" + ] + } + ], "source": [ "def anagram_checker(word_a, word_b, is_case_sensitive):\n", - " # Modify your existing code here\n", + "#Create sets from letters in each word and convert all to lowercase if not case sensitive\n", + " if is_case_sensitive == False:\n", + " word_1 = word_a.lower()\n", + " word_2 = word_b.lower()\n", + " else:\n", + " word_1 = word_a\n", + " word_2 = word_b\n", + " first_word = set()\n", + " second_word = set() \n", + " for letter in word_1:\n", + " first_word.add(letter)\n", + " for letter in word_2:\n", + " second_word.add(letter)\n", + "\n", + "#Compare sets to determine if the words use the same letters. Also ensure words are the same length in case letters are repeated.\n", + " if first_word == second_word and len(word_a) == len(word_b):\n", + " print(f'{word_a} and {word_b} are anagrams!')\n", + " else:\n", + " print(f'{word_a} and {word_b} are not anagrams!')\n", "\n", "# Run your code to check using the words below:\n", "anagram_checker(\"Silent\", \"listen\", False) # True" @@ -110,18 +174,34 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 75, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Silent and listen are not anagrams!\n" + ] + } + ], "source": [ "anagram_checker(\"Silent\", \"listen\", True) # False" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 76, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Silent and Listen are not anagrams!\n" + ] + } + ], "source": [ "anagram_checker(\"Silent\", \"Listen\", True) # False" ] @@ -139,7 +219,7 @@ ], "metadata": { "kernelspec": { - "display_name": "new-learner", + "display_name": "python-env", "language": "python", "name": "python3" }, @@ -153,7 +233,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.11.8" + "version": "3.11.15" } }, "nbformat": 4,