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4 changes: 3 additions & 1 deletion .gitignore
Original file line number Diff line number Diff line change
@@ -1,5 +1,5 @@
# Virtual environments
myenv/
pyt101/
venv/
.env/

Expand All @@ -23,3 +23,5 @@ Thumbs.db

# Secrets
.env


41 changes: 41 additions & 0 deletions Discount_calc.ipynb
Original file line number Diff line number Diff line change
@@ -0,0 +1,41 @@
{
"cells": [
{
"cell_type": "code",
"execution_count": null,
"id": "346da9f3",
"metadata": {},
"outputs": [],
"source": [
"input_str =float(input(\"Enter a amount: \")) \n",
"if input_str > 5000: \n",
" discount = 0.15 * float(input_str)\n",
" amt = float(input_str) - discount\n",
" print(f\"You got 15% discount! Your discount amount is:{discount}\")\n",
"elif input_str > 1000: \n",
" discount = 0.1 * float(input_str)\n",
" print(f\"You got 10% discount! Your discount amount is:{discount}\")\n",
"elif input_str > 500: \n",
" discount = 0.06 * float(input_str)\n",
" print(f\"You got 6% discount! Your discount amount is:{discount}\")\n",
"else:\n",
" print(\"You are not eligible for any discount.\")\n",
"\n",
"print(f\"Your final amount is: {amt}\")"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"name": "python",
"version": "3.11.9"
}
},
"nbformat": 4,
"nbformat_minor": 5
}
183 changes: 21 additions & 162 deletions Notebook1.ipynb
Original file line number Diff line number Diff line change
Expand Up @@ -10,192 +10,51 @@
"name": "stdout",
"output_type": "stream",
"text": [
"7\n"
"6\n"
]
}
],
"source": [
"x = 3\n",
"y = 4\n",
"y = 3\n",
"print(x + y)"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "f9658402",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"<class 'int'>\n"
]
}
],
"source": [
"print(type(y)) # Output: <class 'int'>"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "e759f74e",
"execution_count": 2,
"id": "20b4d1be",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"1\n"
"Python\n",
"95\n",
"77.5\n",
"[1, 2, 3, 4, 5, 6, 7, 8, 9, 10]\n",
"{'name': 'Sharwari', 'age': 22, 'city': 'Nagpur', 'Height': 5.5}\n"
]
}
],
"source": [
"list1 = [1, 2, 3, 4, 5]\n",
"print(list1[0])"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "4590340e",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"'coconut'"
]
},
"execution_count": 13,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"list2 = [\"apple\", \"banana\", \"cherry\", \"coconut\", \"grape\"]\n",
"list2[3]"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "7f877009",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"'It is a collection of items which can be of different data types. It is ordered, \\nchangeable, and allows duplicate values. \\nLists are defined using square brackets [] and items are separated by commas.'"
]
},
"execution_count": 14,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"#list is also a type of data in Python.\n",
"'''Definition of a List: It is a collection of items which can be of different data types. It is ordered, \n",
"changeable, and allows duplicate values. \n",
"Lists are defined using square brackets [] and items are separated by commas.'''"
"subject = \"Python\"\n",
"marks = 95\n",
"percentage = 77.5\n",
"list1 = [1, 2, 3, 4, 5,6,7,8,9,10]\n",
"dict1 = {\"name\": \"Sharwari\", \"age\": 22, \"city\": \"Nagpur\", \"Height\": 5.5}\n",
"print(subject)\n",
"print(marks)\n",
"print(percentage)\n",
"print(list1)\n",
"print(dict1)"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "e5d50776",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"1 is of type <class 'int'>\n",
"3.14 is of type <class 'float'>\n",
"Hello is of type <class 'str'>\n",
"True is of type <class 'bool'>\n",
"[1, 2, 3] is of type <class 'list'>\n",
"{'name': 'Alice', 'age': 30} is of type <class 'dict'>\n",
"(1, 2) is of type <class 'tuple'>\n",
"{1, 2, 3} is of type <class 'set'>\n"
]
}
],
"source": [
"import numpy as np\n",
"all_types = [1, 3.14, \"Hello\", True, [1, 2, 3], {\"name\": \"Alice\", \"age\": 30}, (1, 2), {1, 2, 3}]\n",
"\n",
"#print(type(all_types[-1]))\n",
"#all_types[5][\"name\"]\n",
"\n",
"def tell_list_item_type(lst):\n",
" for item in lst:\n",
" print(f\"{item} is of type {type(item)}\")\n",
"\n",
"tell_list_item_type(all_types)"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "a061d70d",
"metadata": {},
"outputs": [],
"source": [
"list3 = [1, 2, 2, 24, 5, True, 'g']\n",
"new_set = set(list3)\n",
"#print(new_set)"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "fbac0ecd",
"metadata": {},
"outputs": [],
"source": [
"#A set is a collection which is unordered, unchangeable*, and unindexed. In Python, sets are written with curly brackets."
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "43c09a96",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"1 is of type <class 'int'>\n",
"2 is of type <class 'int'>\n",
"2 is of type <class 'int'>\n",
"24 is of type <class 'int'>\n",
"5 is of type <class 'int'>\n",
"True is of type <class 'bool'>\n",
"g is of type <class 'str'>\n"
]
}
],
"source": [
"tell_list_item_type(list3)"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "4c5c9023",
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "myenv",
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
Expand All @@ -209,7 +68,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.13.7"
"version": "3.11.9"
}
},
"nbformat": 4,
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