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149 changes: 127 additions & 22 deletions lab-python-data-structures.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -57,11 +57,41 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 40,
"metadata": {},
"outputs": [],
"outputs": [
{
"name": "stdin",
"output_type": "stream",
"text": [
"Enter the grade of the student1: 5\n",
"Enter the grade of the student2: 5\n",
"Enter the grade of the student3: 5\n",
"Enter the grade of the student4: 10\n",
"Enter the grade of the student5: 5\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Sum of grades is 30\n",
"Student grade list:[5, 5, 5] Length of the list:3 No.of occurences of the score 5 in the list:3\n"
]
}
],
"source": [
"# Your code here"
"# Your code here\n",
"studentGrades=[]\n",
"studentGrades.append(int(input(\"Enter the grade of the student1:\")))\n",
"studentGrades.append(int(input(\"Enter the grade of the student2:\")))\n",
"studentGrades.append(int(input(\"Enter the grade of the student3:\")))\n",
"studentGrades.append(int(input(\"Enter the grade of the student4:\")))\n",
"studentGrades.append(int(input(\"Enter the grade of the student5:\")))\n",
"print(f\"Sum of grades is {sum(studentGrades)}\")\n",
"selected_gradesList=studentGrades[0:5:2]\n",
"selected_gradesList.sort()\n",
"print(f\"Student grade list:{selected_gradesList} Length of the list:{len(selected_gradesList)} No.of occurences of the score 5 in the list:{selected_gradesList.count(5)}\")"
]
},
{
Expand Down Expand Up @@ -95,11 +125,36 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 128,
"metadata": {},
"outputs": [],
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"The first element is:apple\n",
"The last element is:banana\n",
"updated tuple is ('apple', 'pear', 'orange', 'strawberry', 'banana')\n",
"The updated fruits inventory: ('apple', 'pear', 'orange', 'strawberry', 'banana', 'pineapple', 'watermelon')\n",
"The final fruits inventory is ('apple', 'pear', 'orange', 'banana', 'pineapple', 'watermelon', 'apple', 'pear', 'orange', 'strawberry', 'banana', 'pineapple', 'watermelon') with a length of 13\n"
]
}
],
"source": [
"# Your code here"
"# Your code here\n",
"fruits=('apple','grapes','orange','strawberry','banana')\n",
"print(f\"The first element is:{fruits[0]}\")\n",
"print(f\"The last element is:{fruits[-1]}\")\n",
"fruits_list=list(fruits)\n",
"fruits_list[1]='pear'\n",
"fruits=tuple(fruits_list)\n",
"print(f\"updated tuple is {fruits}\")\n",
"fruits=fruits+('pineapple','watermelon')\n",
"print(f\"The updated fruits inventory: {fruits}\")\n",
"first_tuple=fruits[0:3]\n",
"second_tuple=fruits[-3:]\n",
"final_fruits_inventory = first_tuple + second_tuple + fruits\n",
"print(f\"The final fruits inventory is {final_fruits_inventory} with a length of {len(final_fruits_inventory)}\")"
]
},
{
Expand Down Expand Up @@ -136,7 +191,7 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 160,
"metadata": {},
"outputs": [],
"source": [
Expand All @@ -163,11 +218,40 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 164,
"metadata": {},
"outputs": [],
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Number of unique words present in poem:41\n",
"Number of unique words present in new_poem:42\n",
"The unique words present in poem but not in new_poem:{'perish', 'would', 'suffice', 'i’ve', 'great', 'also', 'destruction', 'fire', 'will', 'for', 'desire', 'hold', 'favor', 'the', 'hate', 'tasted', 'in', 'twice', 'world', 'ice'}\n",
"The unique words present in new_poem but not in poem:{'test', 'still', 'we', 'its', 'see', 'made', 'as', 'love', 'quest', 'away', 'seen', 'life', 'though', 'side', 'today', 'fades', 'deem', 'ive', 'a', 'dream', 'are'}\n",
"The list of unique words present in both poems in alphabetical order:['and', 'but', 'end', 'enough', 'from', 'had', 'i', 'if', 'is', 'it', 'know', 'of', 'say', 'some', 'that', 'think', 'those', 'to', 'what', 'who', 'with']\n"
]
}
],
"source": [
"# Your code here"
"#your code here\n",
"import string\n",
"punctuated_poem =poem.lower().translate(str.maketrans('','',string.punctuation))\n",
"punctuated_new_poem=new_poem.lower().translate(str.maketrans('','',string.punctuation))\n",
"poem_set=set(punctuated_poem.split())\n",
"new_poem_set=set(punctuated_new_poem.split())\n",
"\n",
"print(f\"Number of unique words present in poem:{len(poem_set)}\")\n",
"print(f\"Number of unique words present in new_poem:{len(new_poem_set)}\")\n",
"\n",
"unique_words_of_poem=poem_set-new_poem_set\n",
"print(f\"The unique words present in poem but not in new_poem:{unique_words_of_poem}\")\n",
"\n",
"unique_words_of_new_poem=new_poem_set-poem_set\n",
"print(f\"The unique words present in new_poem but not in poem:{unique_words_of_new_poem}\")\n",
"\n",
"unique_words_of_bothpoems=poem_set.intersection(new_poem_set)\n",
"print(f\"The list of unique words present in both poems in alphabetical order:{sorted(unique_words_of_bothpoems)}\")\n"
]
},
{
Expand All @@ -193,7 +277,7 @@
},
{
"cell_type": "code",
"execution_count": 51,
"execution_count": 169,
"metadata": {},
"outputs": [],
"source": [
Expand All @@ -202,11 +286,12 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 173,
"metadata": {},
"outputs": [],
"source": [
"# Your code here"
"# Your code here\n",
"grades['Bob']['Philosophy']=100"
]
},
{
Expand Down Expand Up @@ -239,14 +324,24 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 211,
"metadata": {},
"outputs": [],
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"{'Physics': 75, 'Math': 85, 'Chemistry': 60, 'Philosophy': 90}\n"
]
}
],
"source": [
"keys = ['Physics', 'Math', 'Chemistry', 'Philosophy']\n",
"values = [75, 85, 60,90]\n",
"\n",
"# Your code here"
"# Your code here\n",
"new_dictionary=dict(zip(keys,values))\n",
"print(new_dictionary)"
]
},
{
Expand Down Expand Up @@ -275,19 +370,29 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 209,
"metadata": {},
"outputs": [],
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"The subject with minimum score is Chemistry\n"
]
}
],
"source": [
"# Your code here"
"# Your code here\n",
"minimum_score_subject=min(new_dictionary,key=new_dictionary.get)\n",
"print(f\"The subject with minimum score is {minimum_score_subject}\")"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"display_name": "Python [conda env:base] *",
"language": "python",
"name": "python3"
"name": "conda-base-py"
},
"language_info": {
"codemirror_mode": {
Expand All @@ -299,7 +404,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.13"
"version": "3.12.7"
}
},
"nbformat": 4,
Expand Down