{
"nbformat": 4,
"nbformat_minor": 0,
"metadata": {
"colab": {
"name": "Week1_Assignment.ipynb",
"provenance": [],
"collapsed_sections": []
},
"kernelspec": {
"name": "python3",
"display_name": "Python 3"
}
},
"cells": [
{
"cell_type": "markdown",
"metadata": {
"id": "cDSWoNO0XM3g"
},
"source": [
"Practice Assignment for week 08/31"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "QtjyBkh7X8ZI"
},
"source": [
"Question 1 : \"Palindrome\" script -- take any string, and find out if it is a palindrome"
]
},
{
"cell_type": "code",
"metadata": {
"id": "THWe1k_rXWn4"
},
"source": [
"import pandas "
],
"execution_count": null,
"outputs": []
},
{
"cell_type": "code",
"metadata": {
"id": "QQMPx2cCcrMU",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 35
},
"outputId": "2691ff3b-003a-44ba-a118-8c1f58f9ceca"
},
"source": [
"x = 'test'\n",
"\n",
"y = ''\n",
"for i in x:\n",
" y = i + y\n",
"print(y)"
],
"execution_count": null,
"outputs": [
{
"output_type": "stream",
"text": [
"tset\n"
],
"name": "stdout"
}
]
},
{
"cell_type": "code",
"metadata": {
"id": "CBi2c46edIxB",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 34
},
"outputId": "8cd4c715-2a9e-4d0c-ba48-639ad4532e2b"
},
"source": [
"if (x == y):\n",
" print(\"Yes, it is a palindrome\")\n",
"else:\n",
" print(\"No, it is not a palindrome\")"
],
"execution_count": null,
"outputs": [
{
"output_type": "stream",
"text": [
"Yes, it is a palindrome\n"
],
"name": "stdout"
}
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "XA6f35nZkuEn"
},
"source": [
"Question 2: Create a huge dataset of fake data (or real data) using a list of dicts as a data structure. Iterate through that list; if a record matches some condition, print it"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "AbSRbSq5lL3D"
},
"source": [
"Example 1:"
]
},
{
"cell_type": "code",
"metadata": {
"id": "n3aHGziDdaV7"
},
"source": [
"import random\n",
"import string"
],
"execution_count": null,
"outputs": []
},
{
"cell_type": "code",
"metadata": {
"id": "JXP1Cmf1lmpc",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 34
},
"outputId": "651a1f27-2d52-42de-8382-f78a5da65012"
},
"source": [
"word = string.ascii_lowercase\n",
"final_word = ''.join(random.choice(word) for i in range(3))\n",
"print(final_word)"
],
"execution_count": null,
"outputs": [
{
"output_type": "stream",
"text": [
"elh\n"
],
"name": "stdout"
}
]
},
{
"cell_type": "code",
"metadata": {
"id": "qoFDSeC5lnSm",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 34
},
"outputId": "dd49b6b4-054a-45c2-bc34-75769da3162b"
},
"source": [
"my_dict = {\"A\"+str(i):final_word for i in range(100,999)}\n",
"#my_dict\n",
"\n",
"for i in list(my_dict.keys()):\n",
" if i == \"A100\":\n",
" print(i, my_dict[i])"
],
"execution_count": null,
"outputs": [
{
"output_type": "stream",
"text": [
"A100 elh\n"
],
"name": "stdout"
}
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "TsFznR62mPz-"
},
"source": [
"Example 2:"
]
},
{
"cell_type": "code",
"metadata": {
"id": "ahSGbFrTmIqg",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 54
},
"outputId": "6eada4e9-56b2-4e66-ee74-725f820f12b4"
},
"source": [
"new_dict = {}\n",
"for i in range(200):\n",
" new_dict['EMSE'+str(i)] = random.randrange(200)\n",
"print(new_dict)"
],
"execution_count": null,
"outputs": [
{
"output_type": "stream",
"text": [
"{'EMSE0': 0, 'EMSE1': 13, 'EMSE2': 12, 'EMSE3': 14, 'EMSE4': 8, 'EMSE5': 14, 'EMSE6': 5, 'EMSE7': 5, 'EMSE8': 16, 'EMSE9': 13, 'EMSE10': 11, 'EMSE11': 7, 'EMSE12': 18, 'EMSE13': 13, 'EMSE14': 6, 'EMSE15': 19, 'EMSE16': 2, 'EMSE17': 18, 'EMSE18': 1, 'EMSE19': 18, 'EMSE20': 16, 'EMSE21': 4, 'EMSE22': 14, 'EMSE23': 17, 'EMSE24': 0, 'EMSE25': 1, 'EMSE26': 16, 'EMSE27': 16, 'EMSE28': 2, 'EMSE29': 3, 'EMSE30': 8, 'EMSE31': 2, 'EMSE32': 12, 'EMSE33': 6, 'EMSE34': 8, 'EMSE35': 1, 'EMSE36': 15, 'EMSE37': 7, 'EMSE38': 11, 'EMSE39': 11, 'EMSE40': 15, 'EMSE41': 4, 'EMSE42': 7, 'EMSE43': 0, 'EMSE44': 7, 'EMSE45': 15, 'EMSE46': 10, 'EMSE47': 16, 'EMSE48': 3, 'EMSE49': 18, 'EMSE50': 12, 'EMSE51': 19, 'EMSE52': 17, 'EMSE53': 10, 'EMSE54': 1, 'EMSE55': 9, 'EMSE56': 1, 'EMSE57': 0, 'EMSE58': 11, 'EMSE59': 5, 'EMSE60': 9, 'EMSE61': 3, 'EMSE62': 8, 'EMSE63': 3, 'EMSE64': 14, 'EMSE65': 8, 'EMSE66': 3, 'EMSE67': 0, 'EMSE68': 16, 'EMSE69': 2, 'EMSE70': 12, 'EMSE71': 0, 'EMSE72': 5, 'EMSE73': 13, 'EMSE74': 11, 'EMSE75': 8, 'EMSE76': 5, 'EMSE77': 19, 'EMSE78': 14, 'EMSE79': 4, 'EMSE80': 17, 'EMSE81': 6, 'EMSE82': 13, 'EMSE83': 10, 'EMSE84': 17, 'EMSE85': 1, 'EMSE86': 3, 'EMSE87': 1, 'EMSE88': 2, 'EMSE89': 1, 'EMSE90': 12, 'EMSE91': 16, 'EMSE92': 0, 'EMSE93': 0, 'EMSE94': 12, 'EMSE95': 2, 'EMSE96': 0, 'EMSE97': 1, 'EMSE98': 6, 'EMSE99': 9, 'EMSE100': 11, 'EMSE101': 18, 'EMSE102': 5, 'EMSE103': 16, 'EMSE104': 3, 'EMSE105': 2, 'EMSE106': 0, 'EMSE107': 12, 'EMSE108': 11, 'EMSE109': 8, 'EMSE110': 8, 'EMSE111': 10, 'EMSE112': 19, 'EMSE113': 8, 'EMSE114': 2, 'EMSE115': 18, 'EMSE116': 3, 'EMSE117': 11, 'EMSE118': 4, 'EMSE119': 3, 'EMSE120': 4, 'EMSE121': 2, 'EMSE122': 6, 'EMSE123': 6, 'EMSE124': 1, 'EMSE125': 15, 'EMSE126': 10, 'EMSE127': 6, 'EMSE128': 9, 'EMSE129': 5, 'EMSE130': 2, 'EMSE131': 2, 'EMSE132': 3, 'EMSE133': 15, 'EMSE134': 19, 'EMSE135': 18, 'EMSE136': 13, 'EMSE137': 17, 'EMSE138': 18, 'EMSE139': 17, 'EMSE140': 9, 'EMSE141': 17, 'EMSE142': 17, 'EMSE143': 16, 'EMSE144': 16, 'EMSE145': 1, 'EMSE146': 4, 'EMSE147': 10, 'EMSE148': 19, 'EMSE149': 7, 'EMSE150': 18, 'EMSE151': 14, 'EMSE152': 11, 'EMSE153': 12, 'EMSE154': 18, 'EMSE155': 10, 'EMSE156': 8, 'EMSE157': 12, 'EMSE158': 15, 'EMSE159': 8, 'EMSE160': 4, 'EMSE161': 13, 'EMSE162': 5, 'EMSE163': 15, 'EMSE164': 7, 'EMSE165': 2, 'EMSE166': 18, 'EMSE167': 11, 'EMSE168': 6, 'EMSE169': 3, 'EMSE170': 16, 'EMSE171': 6, 'EMSE172': 10, 'EMSE173': 0, 'EMSE174': 18, 'EMSE175': 9, 'EMSE176': 9, 'EMSE177': 0, 'EMSE178': 18, 'EMSE179': 11, 'EMSE180': 19, 'EMSE181': 18, 'EMSE182': 4, 'EMSE183': 14, 'EMSE184': 6, 'EMSE185': 0, 'EMSE186': 1, 'EMSE187': 12, 'EMSE188': 0, 'EMSE189': 4, 'EMSE190': 0, 'EMSE191': 16, 'EMSE192': 14, 'EMSE193': 3, 'EMSE194': 7, 'EMSE195': 5, 'EMSE196': 19, 'EMSE197': 17, 'EMSE198': 9, 'EMSE199': 5}\n"
],
"name": "stdout"
}
]
},
{
"cell_type": "code",
"metadata": {
"id": "zfCu0LVNmanw",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 816
},
"outputId": "7562e8d4-520b-48d3-adff-60ac84696273"
},
"source": [
"for key, value in new_dict.items():\n",
" if value >= 4 and value < 9:\n",
" print(key, value)"
],
"execution_count": null,
"outputs": [
{
"output_type": "stream",
"text": [
"EMSE4 8\n",
"EMSE6 5\n",
"EMSE7 5\n",
"EMSE11 7\n",
"EMSE14 6\n",
"EMSE21 4\n",
"EMSE30 8\n",
"EMSE33 6\n",
"EMSE34 8\n",
"EMSE37 7\n",
"EMSE41 4\n",
"EMSE42 7\n",
"EMSE44 7\n",
"EMSE59 5\n",
"EMSE62 8\n",
"EMSE65 8\n",
"EMSE72 5\n",
"EMSE75 8\n",
"EMSE76 5\n",
"EMSE79 4\n",
"EMSE81 6\n",
"EMSE98 6\n",
"EMSE102 5\n",
"EMSE109 8\n",
"EMSE110 8\n",
"EMSE113 8\n",
"EMSE118 4\n",
"EMSE120 4\n",
"EMSE122 6\n",
"EMSE123 6\n",
"EMSE127 6\n",
"EMSE129 5\n",
"EMSE146 4\n",
"EMSE149 7\n",
"EMSE156 8\n",
"EMSE159 8\n",
"EMSE160 4\n",
"EMSE162 5\n",
"EMSE164 7\n",
"EMSE168 6\n",
"EMSE171 6\n",
"EMSE182 4\n",
"EMSE184 6\n",
"EMSE189 4\n",
"EMSE194 7\n",
"EMSE195 5\n",
"EMSE199 5\n"
],
"name": "stdout"
}
]
},
{
"cell_type": "code",
"metadata": {
"id": "o5ittiHCmcUC"
},
"source": [
""
],
"execution_count": null,
"outputs": []
}
]
}