{
"cells": [
{
"cell_type": "markdown",
"metadata": {
"id": "fVFXQKGbLeDL"
},
"source": [
"LU2: Python String, Integer, Float & Boolean
"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "FkHni0zv_kJF"
},
"source": [
"**Python String**"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "UJHZQ6R2r97I",
"outputId": "77907f83-2cd8-4453-db5c-403b4581463e"
},
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"\n",
"Hello World!\n"
]
}
],
"source": [
"a = 'Hello World!'\n",
"print(type(a))\n",
"print(a)"
]
},
{
"cell_type": "markdown",
"source": [],
"metadata": {
"id": "KiLeF25mVvcW"
}
},
{
"cell_type": "code",
"source": [
"print(a)"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "Ae_MERFTVxsg",
"outputId": "6af59461-874e-4e86-eed7-5e0923ddf5b5"
},
"execution_count": null,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"Hello World!\n"
]
}
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "Yj6Vo6Aj_xxt"
},
"source": [
"**Exercise 2.1**"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "gGu2DYyd_1tM"
},
"outputs": [],
"source": [
"firstName = 'aleX'\n",
"lastName = 'tan'"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "kja4zViRCXwn",
"outputId": "3e2901f4-8724-4ec6-c6d5-e881909140e5"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Alex TAN\n"
]
}
],
"source": [
"print('{} {}'.format(firstName.capitalize(), lastName.upper()))"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "dVz4_9-2FG55"
},
"source": [
"**Exercise 2.2**"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "_vGcSmJ5AB91"
},
"outputs": [],
"source": [
"fruit = \" durian \""
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "flJFLfIyCTlX",
"outputId": "950bb4c9-0abd-4867-c3ae-ea4f15849f6e"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Durian is my favorite fruit.\n"
]
}
],
"source": [
"fav = fruit.strip()\n",
"print('{} is my favorite fruit.'.format(fav.capitalize()))"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "N-YQOK97FsHY"
},
"source": [
"**Exercise 2.3**"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "17ekgvXzAOT2",
"outputId": "08ca0c32-79a7-4559-e480-e9e1271197c6"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Today is a lousy day!\n"
]
}
],
"source": [
"old = 'Today is a lousy day!'\n",
"print(old)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "q4yg_5CTCLgJ",
"outputId": "c4daba44-12c0-423b-db62-43b08ae9b467"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Today is a great day!\n"
]
}
],
"source": [
"new = old.replace('lousy','great')\n",
"print(new)"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "UkM4HcbzeHsb"
},
"source": [
"**Python Number**"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "zuW0erZg5Y6Q"
},
"outputs": [],
"source": [
"x = 2\n",
"y = 3.5\n",
"z = 4 + 6j"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "rCqQbS_YCFo-",
"outputId": "850cd4ec-c2ed-4b72-ebed-795d5156a0c2"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"\n",
"\n",
"\n"
]
}
],
"source": [
"print(type(x))\n",
"print(type(y))\n",
"print(type(z))"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "YeT3vx1_18H2"
},
"source": [
"**Examples: Printing Numbers**"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "ZhUM97DF2CiM"
},
"outputs": [],
"source": [
"a = 2.3456; b = 5"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "Mcvi7szY2RE0",
"outputId": "5e2025d6-7980-4782-be80-f5f3629b34cd"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"2.3456 + 5 = 7.3456\n"
]
}
],
"source": [
"print(\"{} + {} = {}\".format (a,b,a+b))"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "kpClkItv3jvO",
"outputId": "7c477883-f5db-4d83-8eee-540eaa689f3b"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"5 + 2.3456 = 7.3456\n"
]
}
],
"source": [
"print(\"{1} + {0} = {2}\".format (a,b,a+b))"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "mhZy7S_R3lqM",
"outputId": "09f85171-a538-4025-b11f-d29451df4cb4"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"2.35 + 5.00 = 7.35\n"
]
}
],
"source": [
"print(\"{:0.2f} + {:0.2f} = {:0.2f}\".format (a,b,a+b))"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "lRsGIC0R3nBI",
"outputId": "ca9df5da-d8ef-435d-827a-a228f1270201"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"2.35 + 5.00 = 7.35\n"
]
}
],
"source": [
"print(\"{0:0.2f} + {1:0.2f} = {2:0.2f}\".format (a,b,a+b))"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "4UGfvxas3pAs",
"outputId": "2454b2e1-22e3-4af0-976b-268868deabc0"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
" 2.35 + 5.00 = 7.35\n"
]
}
],
"source": [
"print(\"{0:5.2f} + {1:5.2f} = {2:5.2f}\".format (a,b,a+b))"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "cYpCNDlJfTfz"
},
"source": [
"**Exercise 2.4**"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "Va9QX6Jf-Ad_"
},
"outputs": [],
"source": [
"x = 2.333\n",
"y = 5.666\n",
"z = 7.888"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "-1GevajkCAdf",
"outputId": "f5e8da28-7e5e-4437-d442-09b40cf4448f"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"The result of \"00002.33 + 5.67 + 7.89\" is 15.887\n",
"The result of \" 2.33 + 5.67 + 7.89\" is 15.887\n",
"The result of \"2.33 + 5.67 + 7.89\" is 15.887\n"
]
}
],
"source": [
"print('The result of \"{:08.2f} + {:0.2f} + {:0.2f}\" is {:0.3f}'.format(x,y,z,x+y+z))\n",
"print('The result of \"{:8.2f} + {:0.2f} + {:0.2f}\" is {:0.3f}'.format(x,y,z,x+y+z))\n",
"print('The result of \"{:0.2f} + {:0.2f} + {:0.2f}\" is {:0.3f}'.format(x,y,z,x+y+z))"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "M6g_w8ZffWuj"
},
"source": [
"**Exercise 2.5**"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "-bvT6wirfXDj",
"outputId": "d83a6c1e-f451-4a2a-8525-ca928963b3a8"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Monthly Salary:\t$ 3,250.00\n",
"Annual Salary :\t$ 39,000.00\n"
]
}
],
"source": [
"mthly = 3250\n",
"print('Monthly Salary:\\t${:10,.2f}'.format(mthly))\n",
"print('Annual Salary :\\t${:10,.2f}'.format(mthly*12))"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "JNkg4kekJnYH"
},
"source": [
"**Exercise 2.6**"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "JB0YQILul9OD"
},
"outputs": [],
"source": [
"a = (10 > 7)\n",
"b = (2 == 3)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "rHuPuTNJBzHA",
"outputId": "8c053d3e-e006-43fb-acf8-1addabfce7d7"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"\n",
"True\n"
]
}
],
"source": [
"print(type(a))\n",
"print(a)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "sww7866GB7zW",
"outputId": "bb752710-99cc-4395-d574-eb2a39414208"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"False\n"
]
}
],
"source": [
"print(b)"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "ViK_wTAnMFuu"
},
"source": [
"LU3: Python Operators
"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "abN4_HzRLdzG"
},
"source": [
"**Exercise 3.1**"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "FpdvRra1J_gm"
},
"outputs": [],
"source": [
"candies = 91\n",
"people = 3"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "3ilGMi9oExxn",
"outputId": "3df9da73-9dbf-4b85-e9c9-9d7be58bef5a"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"1\n"
]
}
],
"source": [
"giveAway = candies%people\n",
"print(giveAway)"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "udj61UbbSrzD"
},
"source": [
"**Exercise 3.2**"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "Ntx2DZ89RVE1",
"outputId": "41c5105b-a062-490f-ac4b-f88f73532a0b"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"True\n",
"False\n",
"True\n"
]
}
],
"source": [
"name = ['Alex', 'Berlinda', 'Catherine', 'David']\n",
"print('Alex' in name)\n",
"print('Eddy' in name)\n",
"print('berlinda' not in name)"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "DmdscMORMPsF"
},
"source": [
"LU4: Python List, Tuple & Dictionary
"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "UAbcflSFJ-Wk"
},
"source": [
"**List**"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "ULrom7rAVCnH"
},
"outputs": [],
"source": [
"a = [2, 4, 6, 8, 10, 12] \n",
"b = ['apple', 'banana', 'coconut', 'durian']"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "hqqQGjkCLQSz"
},
"source": [
"**Slicing List**"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "RxcSEhgEKZKL"
},
"outputs": [],
"source": [
"a = [2, 4, 6, 8, 10, 12, 14] "
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "eX_9-fOfKfAf",
"outputId": "269f6d3a-e7d1-422d-99cb-ac25c2fb4f96"
},
"outputs": [
{
"data": {
"text/plain": [
"[4, 6]"
]
},
"execution_count": 2,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"a[1:3]"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "dzqdRxF0KgzS",
"outputId": "8a89994e-44a1-49e3-8ae4-b0e53c0136f9"
},
"outputs": [
{
"data": {
"text/plain": [
"[4, 6, 8, 10, 12]"
]
},
"execution_count": 2,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"a[1:]"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "RpHzl1v3KhiD",
"outputId": "a860b219-5d98-4ed6-9d16-3c5dce42991a"
},
"outputs": [
{
"data": {
"text/plain": [
"[6, 8, 10, 12]"
]
},
"execution_count": 3,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"a[2:]"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "0x2on1VjKkle",
"outputId": "69c504eb-ff25-4a6b-815b-81bf79358ba7"
},
"outputs": [
{
"data": {
"text/plain": [
"[2, 4, 6, 8, 10]"
]
},
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"a[:-1]"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "hcIpTKzGKl_q",
"outputId": "897c6533-8197-444b-ea76-04da4a4f7952"
},
"outputs": [
{
"data": {
"text/plain": [
"[2, 4, 6, 8]"
]
},
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"a[:-2]"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "wZz9b9bDT_dw",
"outputId": "2a995b74-8923-490e-8f5f-dceeb6ad4e3e"
},
"outputs": [
{
"data": {
"text/plain": [
"[2, 6, 10]"
]
},
"execution_count": 6,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"a[::2]"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "z6m_UPLoZJ6L"
},
"source": [
"**Adding Elements to List**"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "7ah5hSC4YV1t",
"outputId": "2d4c5def-179a-4629-ed0b-e12d1fe1d19b"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"['apple', 'banana', 'coconut', 'durian']\n"
]
}
],
"source": [
"a = ['apple', 'banana', 'coconut', 'durian']\n",
"print(a)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "eSCNHbRjZWrC",
"outputId": "a975e46c-d0b0-4366-aa02-a5e6f5f44798"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"['apple', 'banana', 'coconut', 'durian', 'strawberry']\n"
]
}
],
"source": [
"a.append('strawberry')\n",
"print(a)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "XRLJ9MYgZZW8",
"outputId": "e53142b7-7034-4c47-c97a-99cd65a34b90"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"['apple', 'banana', 'coconut', 'orange', 'durian', 'strawberry']\n"
]
}
],
"source": [
"a.insert(3,'orange')\n",
"print(a)"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "5Qa3nAjRa8I7"
},
"source": [
"**Removing Elements from List**"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "aOFSjLyLbGIK",
"outputId": "7fb02f67-e1bc-4ab4-92a9-b785b909e534"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"['apple', 'banana', 'coconut', 'orange', 'durian', 'strawberry']\n"
]
}
],
"source": [
"a = ['apple', 'banana', 'coconut', 'orange', 'durian', 'strawberry']\n",
"print(a)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 188
},
"id": "bID3e-KaagcD",
"outputId": "7f7e723e-0736-458b-8ae0-cfa26106ab90"
},
"outputs": [
{
"ename": "ValueError",
"evalue": "ignored",
"output_type": "error",
"traceback": [
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
"\u001b[0;31mValueError\u001b[0m Traceback (most recent call last)",
"\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0ma\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mremove\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'coconut'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 2\u001b[0m \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0ma\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0;31mValueError\u001b[0m: list.remove(x): x not in list"
]
}
],
"source": [
"a.remove('coconut')\n",
"print(a)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "Fj6aUrUzbQ_7"
},
"outputs": [],
"source": [
"a.pop()\n",
"print(a)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "2fKbSIwPbSls",
"outputId": "dd62af90-3dc7-44e0-d267-05dacdb2dfc0"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"['apple', 'orange', 'durian']\n"
]
}
],
"source": [
"a.pop(1)\n",
"print(a)"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "AjyqlM4YczEa"
},
"source": [
"**Copying a List**"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "jYTSzE8qczNR",
"outputId": "087af502-48a4-443a-ecbb-f8d532ac0a89"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"['apple', 'banana', 'coconut', 'durian']\n"
]
}
],
"source": [
"a = ['apple', 'banana', 'coconut', 'durian']\n",
"print(a)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "naTDATRVc7gs",
"outputId": "93b40d7c-60fd-4f3f-8461-ac1b0f4f637a"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"['apple', 'banana', 'coconut', 'durian']\n",
"['apple', 'banana', 'coconut', 'durian']\n"
]
}
],
"source": [
"b = a.copy()\n",
"print(a)\n",
"print(b)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "l499LBk0c-Cz",
"outputId": "e438bac1-29d2-4225-e1ab-cea86c888aa1"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"[2, 4, 6, 8]\n",
"['apple', 'banana', 'coconut', 'durian']\n",
"[2, 4, 6, 8]\n"
]
}
],
"source": [
"c = a\n",
"print(a)\n",
"print(b)\n",
"print(c)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "tBxsobw9dA_T",
"outputId": "95185f4a-3d98-435f-9d50-8435a81e8fb5"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"['apple', 'banana', 'coconut']\n",
"['apple', 'banana', 'coconut', 'durian']\n",
"['apple', 'banana', 'coconut']\n"
]
}
],
"source": [
"c.pop()\n",
"print(a)\n",
"print(b)\n",
"print(c)"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "9GUnB4RSLuhW"
},
"source": [
"**Exercise 4.1**"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "UgmWduPyLyhH",
"outputId": "7a60e5aa-76ab-4ddd-addc-c72fd4d0775d"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"['Toyota', 'Mercedes-Benz', 'BMW', 'Honda', 'Hyundai']\n"
]
}
],
"source": [
"cars = ['Toyota','Mercedes-Benz','BMW','Honda','Hyundai']\n",
"print(cars)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "cpIbQ9suO-9c",
"outputId": "0b9619ee-1fa7-4d81-b991-2e4245f5ca2c"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"['Toyota', 'Mercedes-Benz', 'BMW', 'Honda', 'Hyundai', 'Mazda']\n"
]
}
],
"source": [
"cars.append('Mazda')\n",
"print(cars)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "D-JT93UbPk2R",
"outputId": "61521f63-f728-4a89-d2ce-14b9e2ae8410"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"['Toyota', 'Mercedes-Benz', 'BMW', 'Honda', 'Mazda']\n"
]
}
],
"source": [
"cars.remove('Hyundai')\n",
"print(cars)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "YBhAp5hOQFsf",
"outputId": "aa6e018d-03ef-4bf1-fffa-e7b4dc777730"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"['Toyota', 'Mercedes-Benz', 'BMW', 'Honda', 'Hyundai', 'Mazda']\n"
]
}
],
"source": [
"sgcars = cars.copy()\n",
"print(sgcars)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "LASgLIZXQVnS",
"outputId": "f4aebf9d-a774-472d-fa77-bd6413c3fadd"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"['BMW', 'Honda', 'Hyundai', 'Mazda', 'Mercedes-Benz', 'Toyota']\n"
]
}
],
"source": [
"sgcars.sort()\n",
"print(sgcars)"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "qPPs7_ABd3A6"
},
"source": [
"**Performing Math on a List**"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "bFBZPIZzd3Lt"
},
"outputs": [],
"source": [
"a = [1, 2, 2, 3, 4, 5]"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "faXvHdUOi2rn"
},
"outputs": [],
"source": [
"print(sum(a))"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "3db0N8sAi5hi",
"outputId": "4935198f-f104-483e-d441-33afb3461306"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"1\n"
]
}
],
"source": [
"print(min(a))"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "dvYL-Ynzi_QX",
"outputId": "2e783b6d-fa15-450a-af93-c0393ebb92f3"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"5\n"
]
}
],
"source": [
"print(max(a))"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "OAjArw_pjBxm",
"outputId": "97f0d8d4-6cd1-42d3-caf2-15f8c429c711"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"6\n"
]
}
],
"source": [
"print(len(a))"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "0rkHlQoojEJ9",
"outputId": "caa00ba4-ee4d-486c-c948-27311a32df7c"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"1\n"
]
}
],
"source": [
"print(a.count(5))"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "smE28H1Vm1fu"
},
"source": [
"**Tuple**"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "OIwtVkKTm3wO"
},
"outputs": [],
"source": [
"a = ('apple', 'banana', 'coconut', 'durian')"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "KLntcd-6nCb2",
"outputId": "571cdc0c-1a3b-4f7b-f460-8578492d8e4b"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"('apple', 'banana', 'coconut', 'durian')\n",
"banana\n"
]
}
],
"source": [
"print(a)\n",
"print(a[1])"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "4pFImBkWmyQF"
},
"source": [
"**Dictionary**"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "Kk9rFZirjN17",
"outputId": "478defb2-22c6-47ec-d881-4764f406e78e"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"\n",
"{'China': 'Beijing', 'Japan': 'Tokyo'}\n"
]
}
],
"source": [
"capitals = {'China':'Beijing', 'Japan':'Tokyo'}\n",
"print(type(capitals))\n",
"print(capitals)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "W2GTfWqVmSWm",
"outputId": "0b2a2cd6-4628-4e13-b348-fd87237d924c"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Beijing\n"
]
}
],
"source": [
"print(capitals['China'])"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "qyUaQW21KFUB",
"outputId": "80a99e58-8d6a-4943-ea23-fdd0a6ce0908"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"{'China': 'Beijing', 'Japan': 'Tokyo', 'Germany': 'Berlin'}\n"
]
}
],
"source": [
"capitals['Germany'] = 'Berlin'\n",
"print(capitals)"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "8K9j34XaKoqq"
},
"source": [
"**Exercise 4.2**"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "SJma6JG1KmMV",
"outputId": "76d1f5e4-0c91-4035-d242-19fdba4ce13f"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"{1: 1, 2: 4, 3: 9, 4: 16, 5: 25, 6: 36, 7: 49, 8: 64, 9: 81, 10: 100}\n"
]
}
],
"source": [
"squares = dict()\n",
"for i in range(1,11):\n",
" squares[i] = i**2\n",
"print(squares) "
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "LmGon08kMXLK"
},
"source": [
"LU5: Python Control Structures
"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "rPTNOAuvxm0T"
},
"source": [
"**Selection Structure: if ... elif ... else**"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "ZSQ-D5CFmd5T"
},
"outputs": [],
"source": [
"x = int(input('Enter a number: '))\n",
"\n",
"if x < 0:\n",
" print('This is a negative number')\n",
"\n",
"elif x > 0:\n",
" print('This is a positive number')\n",
" \n",
"else:\n",
" print('The number is a zero')"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "NsstUI6WyEwS"
},
"source": [
"**Exercise 5.1**"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "6jpQuMLbyISt",
"outputId": "fd88b7b2-919c-4cfb-a5cf-4b9911fdb972"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"How are you feeling today? :happy\n",
"happy\n",
"Be Happy!\n"
]
}
],
"source": [
"mood = input('How are you feeling today? :' )\n",
"print(mood)\n",
"if mood=='Happy':\n",
" print(\"Excellent!\")\n",
"elif mood=='Sad':\n",
" print(\"There there now.\")\n",
"elif mood=='Angry':\n",
" print(\"Relax Lah!\")\n",
"else:\n",
" print(\"Be Happy!\")"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "oZYEuyFqNey7"
},
"source": [
"**Exercise 5.1 (Enhanced)**"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "O3aY2nNJNeNW",
"outputId": "6eea5f0e-e6a9-44b0-c112-e51014b83e04"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"How are you feeling today? :HAPPY\n",
"happy\n",
"Excellent!\n"
]
}
],
"source": [
"mood = input('How are you feeling today? :' ).lower()\n",
"print(mood)\n",
"if mood=='happy':\n",
" print(\"Excellent!\")\n",
"elif mood=='sad':\n",
" print(\"There,there now.\")\n",
"elif mood=='angry':\n",
" print(\"Relax Lah!\")\n",
"else:\n",
" print(\"Be Happy!\")"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "8rEgFrYw0Tpw"
},
"source": [
"**while Loop**"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "grtrBU0f0Ydu",
"outputId": "37b7236a-1904-41ac-9ac9-735504daca9e"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"1\n",
"2\n",
"3\n",
"4\n",
"5\n",
"6\n",
"7\n",
"8\n",
"9\n",
"0\n",
"1\n",
"2\n",
"3\n",
"4\n",
"5\n",
"6\n",
"7\n",
"8\n",
"9\n"
]
}
],
"source": [
"a = 1\n",
"while (a < 10):\n",
" print(a)\n",
" a = a + 1\n",
"\n",
"m=0\n",
"while (m < 10):\n",
" print(m)\n",
" m = m + 1"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "wOeU0203PnzC"
},
"source": [
"**Range Function**"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "nFy9W0PWPsx_",
"outputId": "88a1c924-b00b-4fb3-b6d7-65e4ca7f88a2"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"0\n",
"1\n",
"2\n",
"3\n",
"4\n"
]
}
],
"source": [
"for i in range(5):\n",
" print(i)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "jM5BNvGGQQrr",
"outputId": "45caa271-e1ec-44ae-de60-8d0e3de200be"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"1\n",
"2\n",
"3\n",
"4\n",
"5\n"
]
}
],
"source": [
"for i in range(1,6):\n",
" print(i)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "RPW9Bg34QYj0"
},
"outputs": [],
"source": [
"for i in range(2,11,2):\n",
" print(i)"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "Jyj8ka0s2erW"
},
"source": [
"**for Loop**"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "NFnw_bE-0bjA"
},
"outputs": [],
"source": [
"for j in range(1,10,2):\n",
" print('Hello {}'.format(j))"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "MX1ikZcF3sXt"
},
"source": [
"**break**"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "KwDQnkaL2ovl",
"outputId": "f1314ef0-34a1-410c-9b6c-c5a575284749"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"0\n",
"1\n",
"2\n",
"3\n",
"4\n"
]
}
],
"source": [
"for i in range(10):\n",
"\tif i==5:\n",
"\t\tbreak\n",
"\tprint(i)"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "Y0lnHZ3X34pi"
},
"source": [
"**continue**"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "EVg8DnH736nV",
"outputId": "b796742e-684f-489b-8642-322387629787"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"0\n",
"1\n",
"2\n",
"3\n",
"4\n",
"6\n",
"7\n",
"8\n",
"9\n"
]
}
],
"source": [
"for i in range(10):\n",
" if i==5:\n",
" continue\n",
" print(i)"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "Dtg0WV-aSa1N"
},
"source": [
"**Exercise 5.2a**"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "Ai-cZ6JaSfo6",
"outputId": "361f06d5-1d4f-4a48-b9ea-63b35002cf5a"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Please enter a number: 3\n",
"Factorial of 3 (3!) is 6\n"
]
}
],
"source": [
"num = int(input(\"Please enter a number: \"))\n",
" \n",
"fac = 1\n",
"for i in range(1, num + 1):\n",
" fac = fac * i\n",
" \n",
"print('Factorial of {0} ({0}!) is {1}'.format(num,fac))"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "6tLcF1WLVoR4"
},
"source": [
"**Exercise 5.2b**"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "__9gyMQVUKyK",
"outputId": "9f35c565-eff1-4411-c069-e2aeff820de3"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Please enter a number: 2\n",
"Factorial of 2 (2!) is 2\n"
]
}
],
"source": [
"num = int(input(\"Please enter a number: \"))\n",
"\n",
"i = num \n",
"fac = 1\n",
"\n",
"while (i>0):\n",
" fac = fac * i\n",
" i = i - 1\n",
" \n",
"print('Factorial of {0} ({0}!) is {1}'.format(num,fac))"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "1zBaMWJVVXQg"
},
"outputs": [],
"source": []
},
{
"cell_type": "markdown",
"metadata": {
"id": "a4porREPYV8K"
},
"source": [
"LU6: Python Files Handling
"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "iYrM3L0gawWN"
},
"source": [
"**Writing to a File**"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "rM_GXxaoaBwi",
"outputId": "75da84d7-52da-4c12-96b9-842296122457"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Hello World!\t1Hello World!\t2Hello World!\t3Hello World!\t4Hello World!\t5\n"
]
}
],
"source": [
"f = open('file.txt','w')\n",
"for i in range(5):\n",
" f.write('Hello World!\\t{}\\n'.format(i+1))\n",
"\n",
"f.close()\n",
"#Reopen for reading to list contents of file\n",
"f = open(\"file.txt\",\"r\")\n",
"for line in f:\n",
" print(line.strip())\n",
"f.close()"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "Pk7AFco3ivlI"
},
"source": [
"**Appending to a File**"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "wrlkjEuuippr"
},
"outputs": [],
"source": [
"f = open('file.txt','a')\n",
"for i in range(5):\n",
" f.write('Hello Singapore!\\t{}\\n'.format(i+1))\n",
"f.close()"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "TYtViQSsi4AH"
},
"source": [
"**Reading from a File**"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "_JqlMEyhi0jx",
"outputId": "1df75c9f-13dc-49b0-d262-c6b3d9893b5c"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Hello World!\t1Hello World!\t2Hello World!\t3Hello World!\t4Hello World!\t5Hello Singapore!\t1\n",
"Hello Singapore!\t2\n",
"Hello Singapore!\t3\n",
"Hello Singapore!\t4\n",
"Hello Singapore!\t5\n"
]
}
],
"source": [
"f = open(\"file.txt\",\"r\")\n",
"for line in f:\n",
" print(line.strip())\n",
"f.close()"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "2d2y853274PJ"
},
"source": [
"**Exercise 6.1**"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "NEB28CHNlKRM",
"outputId": "c8aaedc6-e0bf-460a-a330-f4abca014f1f"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Tell me and I forget. Teach me and I remember. Involve me and I learn. - Benjamin Franklin\n"
]
}
],
"source": [
"quote1 = \"Tell me and I forget. Teach me and I remember. Involve me and I learn. - Benjamin Franklin\\n\"\n",
"f = open(\"quotes.txt\",\"w\")\n",
"f.write(quote1)\n",
"f.close()\n",
"#added by DP\n",
"f = open(\"quotes.txt\",\"r\")\n",
"for line in f:\n",
" #print(line)\n",
" print(line.strip())\n",
"f.close()"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "iEOunthWISA8"
},
"outputs": [],
"source": [
"quote2 = \"In the end, it's not the years in your life that count. It's the life in your years. - Abraham Lincoln\\n\"\n",
"f = open(\"quotes.txt\",\"a\")\n",
"f.write(quote2)\n",
"f.close()"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "_hC-Vu0YJ34f",
"outputId": "d7735979-77c9-41c9-f31b-5308cba6a475"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Tell me and I forget. Teach me and I remember. Involve me and I learn. - Benjamin Franklin\n",
"In the end, it's not the years in your life that count. It's the life in your years. - Abraham Lincoln\n"
]
}
],
"source": [
"f = open(\"quotes.txt\",\"r\")\n",
"for line in f:\n",
" #print(line)\n",
" print(line.strip())\n",
"f.close()"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "P7yxJ0UHKB2l"
},
"source": [
"LU7: Python Functions
"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "ALQRyc11NcYU"
},
"source": [
"**A Simple Function**"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "xpCkOV5LKHQ1"
},
"outputs": [],
"source": [
"def my_function1( x ):\n",
" y = x ** 2\n",
" return y"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "L8Vf3OSRNSi0",
"outputId": "a27420b9-3dcd-4a97-b92a-2605f897c10a"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"4\n"
]
}
],
"source": [
"a = my_function1(2)\n",
"print(a)"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "pmU2y14fNfon"
},
"source": [
"**Function Returning Multiple Values**"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "xCNX8U-LNsBP"
},
"outputs": [],
"source": [
"def my_function2( x ):\n",
" y = x ** 2\n",
" z = x ** 0.5\n",
" return y, z"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "kSExsTiYNyOH",
"outputId": "8f9a23bf-e87e-457a-97e8-37be98054764"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"4\n",
"1.4142135623730951\n"
]
}
],
"source": [
"a, b = my_function2(2)\n",
"print(a)\n",
"print(b)"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "yyDoRCOOO3e-"
},
"source": [
"**Functions with Multiple Input Parameters**"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "guYuu7OrO47l"
},
"outputs": [],
"source": [
"def my_function3( x, y ):\n",
" z = x + y\n",
" return z"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "rUNM8I_XO8GC",
"outputId": "04c9b06d-68e7-4c63-f6ce-20aa12add1e3"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"5\n"
]
}
],
"source": [
"a = my_function3(2, 3)\n",
"print(a)"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "O0BWBl1uPqeZ"
},
"source": [
"**Exercise 7.1**"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "4enzRC9dPsYI",
"outputId": "034eb03e-d6a8-403c-da2b-c839ce151863"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"hello1\n"
]
}
],
"source": [
"def hello1():\n",
" print('hello1')\n",
"\n",
"hello1()"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 223
},
"id": "wvoSdL-0P-dy",
"outputId": "95088719-095b-4007-e661-5d78d0845330"
},
"outputs": [
{
"ename": "NameError",
"evalue": "ignored",
"output_type": "error",
"traceback": [
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
"\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)",
"\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mhello2\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 2\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 3\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0mhello2\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 4\u001b[0m \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'hello2'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0;31mNameError\u001b[0m: name 'hello2' is not defined"
]
}
],
"source": [
"hello2()\n",
"\n",
"def hello2():\n",
" print('hello2')"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "aBmF6ByAsT1-"
},
"source": [
"**Exercise 7.2**"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "xqXjximJsWGe"
},
"outputs": [],
"source": [
"def ticket(age, price):\n",
" disc = 0\n",
" if age>60 or age<7:\n",
" disc = price * 0.1\n",
" tax = (price-disc)*0.07\n",
" return disc,tax"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "YDlCIhsps7di",
"outputId": "573d9017-d399-4b34-9563-3804a092ff90"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Please enter age: 70\n",
"Please enter ticket price: 100\n",
"Discounted amount: $10.00\n",
"Tax amount: $6.30\n",
"Net price: $96.30\n"
]
}
],
"source": [
"age = int(input('Please enter age: '))\n",
"price = float(input('Please enter ticket price: '))\n",
"disc,tax = ticket(age,price)\n",
"\n",
"print('Discounted amount: ${:0.2f}'.format(disc))\n",
"print('Tax amount: ${:0.2f}'.format(tax))\n",
"print('Net price: ${:0.2f}'.format(price-disc+tax))"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "wxK01UdQWpjc"
},
"source": [
"LU8: Python Errors and Exceptions
"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "vi17sVws3P5H"
},
"source": [
"**Syntax Error Example**"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 134
},
"id": "tV15D23h3J_m",
"outputId": "6ec7d145-458f-440b-ba41-cd71cf964ff0"
},
"outputs": [
{
"ename": "SyntaxError",
"evalue": "ignored",
"output_type": "error",
"traceback": [
"\u001b[0;36m File \u001b[0;32m\"\"\u001b[0;36m, line \u001b[0;32m1\u001b[0m\n\u001b[0;31m print('Hello Worls!'))\u001b[0m\n\u001b[0m ^\u001b[0m\n\u001b[0;31mSyntaxError\u001b[0m\u001b[0;31m:\u001b[0m unmatched ')'\n"
]
}
],
"source": [
"print('Hello Worls!'))"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "L63nYYQL3Ymo"
},
"source": [
"**Exception Example**"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 170
},
"id": "qvg_OXxr3T_I",
"outputId": "7b48275a-b905-4158-c9e2-31812cb8498e"
},
"outputs": [
{
"ename": "ZeroDivisionError",
"evalue": "ignored",
"output_type": "error",
"traceback": [
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
"\u001b[0;31mZeroDivisionError\u001b[0m Traceback (most recent call last)",
"\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m/\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
"\u001b[0;31mZeroDivisionError\u001b[0m: division by zero"
]
}
],
"source": [
"print(0/0)"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "jPr2Stfcmk7B"
},
"source": [
"**(No) Exceptions Handling Example**"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "tARSISKomp0O"
},
"outputs": [],
"source": [
"num = int(input('Enter an integer number: '))\n",
"print(\"You have entered \", num)"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "RIJcT-VP47Vz"
},
"source": [
"**Exceptions Handling Example**"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {
"background_save": true,
"base_uri": "https://localhost:8080/"
},
"id": "n0ACS9Xo4umm",
"outputId": "e8b0e50c-ea04-4ca2-86cd-224b5347debf"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Please enter an integer number\n",
"Thank you\n"
]
}
],
"source": [
"try:\n",
"\tnum = int(input('Enter an integer number: '))\n",
"except:\n",
"\tprint(\"Please enter an integer number\")\n",
"else:\n",
" \tprint(\"You have entered \", num)\n",
"finally:\n",
" print(\"Thank you\")"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "HWpy06LX5AJf"
},
"source": [
"**Exercise 8.1**"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "9yjQ4R8G3iqY",
"outputId": "a58e2d12-8a61-45dc-a796-71016ac1a1e2"
},
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"Please enter an integer number\n",
"Please enter an integer number\n",
"Enter an integer number: 4\n",
"You have entered 4\n"
]
}
],
"source": [
"while True:\n",
" try:\n",
"\t num = int(input('Enter an integer number: '))\n",
" except:\n",
"\t print(\"Please enter an integer number\")\n",
" else:\n",
" print(\"You have entered \", num)\n",
" break"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "qlH8hwrz6Mg4",
"colab": {
"base_uri": "https://localhost:8080/"
},
"outputId": "ca5ed380-82fa-48eb-b817-6ceca8d20f00"
},
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"Enter an integer number or 0 to quit: 0\n",
"You have entered 0\n",
"Have a nice day \n"
]
}
],
"source": [
" #enhanced with loop that quits when enter 0\n",
" while True:\n",
" try:\n",
"\t num = int(input('Enter an integer number or 0 to quit: '))\n",
" except:\n",
"\t print(\"Please enter an integer number\")\n",
" else:\n",
" print(\"You have entered \", num)\n",
" # enter 0 to quit\n",
" if num == 0:\n",
" print(\"Have a nice day \")\n",
" break"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "wYZVxK7MWxpV"
},
"source": [
"LU9: Python Modules
"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "f2hqtistCW8Q"
},
"source": [
"**Exercise 9.1**"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "QpFB0aJWzEs6"
},
"outputs": [],
"source": [
"a = [1, 2, 2, 3, 4, 5, 5]"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "PUqMHieHy28h"
},
"outputs": [],
"source": [
"import statistics\n",
"print('Mean: {:0.3f}'.format(statistics.mean(a)))\n",
"print('Median: {:0.3f}'.format(statistics.median(a)))\n",
"print('StDev: {:0.3f}'.format(statistics.stdev(a)))"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "IihsrlEHCO6d"
},
"outputs": [],
"source": [
"import statistics as s\n",
"print('Mean: {:0.3f}'.format(s.mean(a)))\n",
"print('Median: {:0.3f}'.format(s.median(a)))\n",
"print('StDev: {:0.3f}'.format(s.stdev(a)))"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "5xSHqBQexhgf",
"outputId": "611a3110-f9e3-4fce-9250-9c88897bd7af"
},
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"Mean: 3.143\n",
"Median: 3.000\n",
"StDev: 1.574\n"
]
}
],
"source": [
"from statistics import *\n",
"print('Mean: {:0.3f}'.format(mean(a)))\n",
"print('Median: {:0.3f}'.format(median(a)))\n",
"print('StDev: {:0.3f}'.format(stdev(a)))"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "21b2_lG47JQK"
},
"source": [
"**Matplotlib Demo**"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "aM8kpnPEaHpU"
},
"source": []
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "WusMlvky7Ly6"
},
"outputs": [],
"source": [
"import matplotlib.pyplot as plt\n",
"import numpy as np\n",
"\n",
"labels = ['G1', 'G2', 'G3', 'G4', 'G5']\n",
"men_means = [20, 34, 30, 35, 27]\n",
"women_means = [25, 32, 34, 20, 25]\n",
"\n",
"x = np.arange(len(labels)) # the label locations\n",
"width = 0.35 # the width of the bars\n",
"\n",
"fig, ax = plt.subplots()\n",
"rects1 = ax.bar(x - width/2, men_means, width, label='Men')\n",
"rects2 = ax.bar(x + width/2, women_means, width, label='Women')\n",
"# Add some text for labels, title and custom x-axis tick labels, etc.\n",
"ax.set_ylabel('Scores')\n",
"ax.set_title('Scores by group and gender')\n",
"ax.set_xticks(x)\n",
"ax.set_xticklabels(labels)\n",
"ax.legend()\n",
"# Only available in matplotlib ver 3.4+\n",
"# ax.bar_label(rects1, padding=3)\n",
"# ax.bar_label(rects2, padding=3)\n",
"\n",
"fig.tight_layout()\n",
"\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 35
},
"id": "WRXAb1Wb7NcE",
"outputId": "18a74f58-b1c9-4e17-f30b-c1b13671e366"
},
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"'3.2.2'"
],
"application/vnd.google.colaboratory.intrinsic+json": {
"type": "string"
}
},
"metadata": {},
"execution_count": 8
}
],
"source": [
"import matplotlib\n",
"matplotlib.__version_"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "KSCan2XX9akl"
},
"source": [
"**pandas Demo**"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "3qqNhnXX8TMS"
},
"outputs": [],
"source": [
"import pandas as pd\n",
"housing = pd.read_csv(\"sample_data/california_housing_test.csv\")\n",
"housing"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "qfV0h530-SBO"
},
"outputs": [],
"source": [
"housing.head(10)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "Rv_Vihji-gCC"
},
"outputs": [],
"source": [
"housing.tail(8)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "lOf3dui__8ZU"
},
"outputs": [],
"source": [
"housing['housing_median_age'].max()"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "eFoYfeAWAA4j"
},
"outputs": [],
"source": [
"housing['housing_median_age'].min()"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "nv-Xt5dg-lvC"
},
"outputs": [],
"source": [
"housing['housing_median_age'].mean()"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "f6tEHDIe-tdG"
},
"outputs": [],
"source": [
"housing['housing_median_age'].median()"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "eU3d6NA9_0e4"
},
"outputs": [],
"source": [
"housing['housing_median_age'].std()"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "m8m2rvkMAY4K"
},
"source": [
"**NumPy Demo**"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "kNo0BI3HALaS"
},
"outputs": [],
"source": [
"import numpy as np\n",
"a = np.arange(15).reshape(3, 5)\n",
"a"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "u-TA04qhBq1v"
},
"outputs": [],
"source": [
"a.shape\n",
"# shape gives you how many rows and columns"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "CUlErrANBv98"
},
"outputs": [],
"source": [
"b = np.arange(14,-1,-1).reshape(3, 5)\n",
"# range func. list of numbers from 14 to -1, decrease by 1\n",
"# shape into 3 x 5 matrix\n",
"b"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "_4PhwvvFCMCN"
},
"outputs": [],
"source": [
"c = a + b\n",
"c"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "C4jYT64U4BuV"
},
"source": [
"**Exercise 9.2 - Not Applicable**"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "8VBq5JTP4I27"
},
"source": [
"**The End**"
]
},
{
"cell_type": "code",
"source": [],
"metadata": {
"id": "MdtTs2nUWIxH"
},
"execution_count": null,
"outputs": []
}
],
"metadata": {
"colab": {
"provenance": []
},
"kernelspec": {
"display_name": "Python 3",
"name": "python3"
},
"language_info": {
"name": "python"
}
},
"nbformat": 4,
"nbformat_minor": 0
}